Hamamatsu University School of Medicine

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Australia, Adelaide

Lecturer in Medicinal Chemistry (Level B) $111,030 - $131,335 per annum plus an employer contribution of 17% superannuation applies.

School of Physics, Chemistry and Earth Sciences

Continuing Level B position

Available to women and non-binary candidates only

Chemistry at The University of Adelaide invites an emerging research leader in chemistry, with expertise in Medicinal Chemistry, and a commitment and passion for undergraduate/postgraduate learning and teaching.

We are seeking a highly motivated and qualified individual to join our dynamic team as a Lecturer in Medicinal Chemistry. This is an exciting opportunity for an ambitious researcher with a passion for scientific discovery and a proven track record in chemistry. The ideal candidate will have the ability to lead innovative research, collaborate nationally and internationally, and contribute to the growth of the chemical sciences community.

Applicants should have demonstrated expertise in Medicinal Chemistry.

The successful candidate will lead and develop an independent research program in Medicinal Chemistry, establishing and maintaining strong research links with national and international research groups. They will publish original research in highly regarded scientific journals, contributing to the advancement of knowledge in the field. Additionally, the candidate will teach and mentor undergraduate students in chemical sciences, while actively engaging with the broader chemistry and scientific community by attending conferences, seminars, and contributing to collaborative research efforts.

The Discipline of Chemistry is committed to fostering a staff profile that reflects the diverse student profile in Chemistry. The STEM sector and professions in STEM have historically faced challenges with representing gender diversity, and women and non-binary people are typically underrepresented in this field. For this position, applications are sought from women and non-binary candidates only.

The University of Adelaide is committed to diversity and inclusion, welcoming and supporting all staff and students, regardless of gender, age, race, religion, ability, or sexuality. The University of Adelaide believes strongly in equal opportunity for women and has a long history of championing rights for women in higher education, being the first Australian university to admit women to academic courses in 1881.

To be successful you will need:


	A PhD in Chemistry (or related field).
	Demonstrated research excellence in Medicinal Chemistry, with a national presence, and a strong publication record in highly regarded scientific journals.
	Ability to lead an independent research program and establish meaningful research collaborations.
	Experience in teaching chemical sciences at the undergraduate level.
	Evidence of engagement with the broader chemistry and scientific community.
	Strong organizational, time management, intercultural, and interpersonal skills.
	Commitment to equity, diversity, and inclusion within the research and educational environment.


We offer a supportive and collaborative environment where you can further develop your career in chemistry and contribute to impactful research. If you are a driven researcher committed to excellence in teaching and research, we encourage you to apply

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs including significant industry, government and community collaborations offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. The cutting-edge nature of our work, not just in your own area, but across virtually the full spectrum of human endeavour provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance. 

Learn more at: set.adelaide.edu.au

If you want to change tomorrow, act today

Click on the link below to be taken through to the online application form.

Please submit your:


	cover letter
	curriculum vitae
	statement of research interests
	statement addressing the selection criteria as listed in the Selection Criteria document.


Applications close Tuesday, 11:55pm, 11 February 2025

https://careers.adelaide.edu.au/cw/en/job/515560/lecturer-medicinal-chemistry

For further information

For a confidential discussion regarding this position, please contact:

Tak W. Kee
Discipline Lead/Head of Chemistry
School of Physics, Chemistry & Earth Sciences
P: +61 (8) 8313 5314
E: tak.kee@adelaide.edu.au

Professor Christopher Sumby
Head of School
School of Physics, Chemistry & Earth Sciences
E: christopher.sumby@adelaide.edu.au

***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified***

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.


The University of Adelaide

United Arab Emirates, Abu Dhabi

Description

The Healy Laboratory in the Chemistry Program of the Division of Sciences at New York University Abu Dhabi seeks to recruit a Post-doctoral Associate starting September 2025. Applicants with backgrounds in synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads for a drug discovery program. The lab and the core research facilities at NYUAD are equipped with state-of-the-art facilities for organic synthesis (https://healylab.com/).  

Applicants must have received a Ph.D. in chemistry or related subject or be within a few months from completion. We encourage applications from candidates with significant research experience in the synthesis of complex molecules, particularly polyketides. Knowledge of synthetic automation/chemical engineering, biosynthesis or chemical biology is desired, but not required. Excellent communication skills in English, ability to work in multi-disciplinary teams, and scientific creativity are essential.

The terms of employment include highly competitive salary, housing allowance and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter which describes your motivation to join the Healy Laboratory, a curriculum vitae with full publication list, a one-page summary of research accomplishments and interests, a transcript, and two letters of recommendation, all in PDF format. If you have any questions, please e-mail alan.healy@nyu.edu.

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery. 

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions. 

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,  and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods  that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications. 

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is  February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages). 
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page.  

Aalto University (53rd in the Times Higher Education THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
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Newsletter: http://eepurl.com/gVPBpf

Aalto.fi 

twitter.com/aaltouniversity 
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

New Zealand, Auckland

Job Description


	Seeking a truly collaborative leader in brain research who will engage research, clinical and related communities in a vision for developing a better understanding of the human brain and for improving outcomes for those affected by brain disorders.
	Live and work in New Zealand’s largest, most cosmopolitan and culturally diverse city.


The University of Auckland, Waipapa Taumata Rau, has ambitious and transformative goals to deliver top quality research and impact both locally in the Pacific region and globally.

Join us in the substantive academic position of David Levene Foundation Chair in Brain Research, and apply your leadership to ensure the next horizon of success of the Centre for Brain Research Te Huinga Hinengaro (CBR). The director (appointed on an initial 5-year term) will build on CBR’s success in developing a strong and diverse community of neuroscience scholars who seeking to understand the human brain and to develop and translate therapies and other treatments for those affected by brain disorders.

CBR is one of seven transdisciplinary University Research Centres spanning multiple faculties, disciplines and academic activities and engaged in research with the community.

Established 15 years ago, effective relationships are at the heart of its reputation as a leader in translational brain research, as demonstrated by the philanthropic and community support it values dearly.

Members of the CBR are engaged in internationally recognised research ranging from basic and laboratory science to clinical research and the promotion of population health and research that works with and through engagement with communities, particularly Māori and Pacific communities. Creating stronger ties among scientists, engineers, clinicians, potential industry partners and the community, whilst training the next generation of leaders in the field will be central to the Director’s aspriations for the CBR.

Learn more about CBR’s cutting edge research and world-class facilities, and review the position description here.

For further information and a confidential conversation, please contact Clare Litten, Manager, Academic Executive Search Service, c.litten@auckland.ac.nz

Applications must be submitted online, by the closing date of 9 March 2025

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz


The University of Auckland

Australia, Melbourne


	3x Full-time, Continuing positions
	Salary Academic Level B ($110,868 - $131,659) + 17% Superannuation and Flexible Working Arrangements
	Based at the Melbourne CBD campus


About the Role

The Lecturer is expected to contribute to the teaching and research efforts of the School, in disciplines related to their field of expertise. More specifically, the Lecturer is responsible for carrying out teaching activities within undergraduate, Masters and Graduate Diploma programs and for maintaining and advancing their scholarly, research and/or professional capabilities.

The Lecturer is also expected to actively promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities. The Lecturer is expected to work collaboratively and collegially with fellow academics within the teaching team, and update colleagues and students on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination.

To be successful in this position, you'll have:


	Demonstrable advanced knowledge and extensive experience with industry-standard 3D animation and Visual Effects (VFX) technologies such as Houdini, Maya, Unreal Engine, and Nuke. Tech art skills (e.g. materials and shader design, lighting, game engine tool development) desirable. This selection criteria could be evidenced via portfolio submission (web links preferred).
	Demonstrable industry knowledge and experience in current and emerging industry workflows and pipelines for rendered and real-time 3D animation. Qualified candidates with industry experience (e.g. in 3D, VFX, or game production studios) are highly encouraged to apply.
	Demonstrated ability to develop, coordinate, and deliver 3D animation and Visual Effects courses at undergraduate and/or post-graduate levels.
	Demonstrated ability to support student issues related to effective learning.


Please view position description for further selection criteria 

Qualifications

Mandatory: PhD Qualification

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the School

The School of Design is a School comprised of the disciplines of Industrial Design, Digital Design and Communication Design.

The School builds on RMIT's leading national and international reputation in design education by creating a specific focus on emerging areas such as UX and service design, design strategy and virtual and augmented reality.

It comprises approximately 100 academic and 11 professional staff and over 3000 EFT undergraduate and postgraduate students with expectations of growth.

For more information visit www.rmit.edu.au/about/schools-colleges/design.

To Apply 

Please submit your CV, covering letter and separate document addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au.

PD - Lecturer - Digital Design (3d Animation and Visual Effects)

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. 

Holiday Closure Notice:

Please be advised that RMIT will be closed between Christmas and New Year. If you have any questions or issues related to this role during that time, please contact talentsupport@rmit.edu.au. We will get back to you after January 2nd.

Applications close on Sunday 9th February 2025 at 11.59pm. 

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


RMIT University

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Hamamatsu University School of Medicine

About

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World University Rankings 20251001-1200^th

Clinical and Health 2024601-800^th

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Clinical and Health601–800^th

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Hamamatsu University School of Medicine

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Clinical and Health 2024601-800th

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Subjects Taught at Hamamatsu University School of Medicine

Clinical and Health.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}601–800th

Clinical and Health 2024601-800^th

Clinical and Health601–800^th