Qazvin University of Medical Sciences

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Australia, Hawthorn


	Prime opportunity within the Admissions team
	Full-time, fixed-term (October 2025) position at our Hawthorn campus
	HEW 5 salary + 17% superannuation and staff benefits


About the Role

Are you passionate about working in a fast-paced environment? Do you have a keen eye for detail and a desire to contribute to the international student experience? We are seeking a motivated and proactive Admissions Officer (International) to play a key role in supporting our international student admissions process and ensuring smooth, efficient operations from application to enrolment.

In this role, you will be directly involved in the administration and management of the international student admissions process. You will collaborate closely with a dedicated team to drive enrolment targets and maximise student intake, ensuring that offers, acceptances, and enrolments are efficiently processed.

As part of the team, you will also develop and maintain effective communication with prospective students, providing expert guidance and support throughout their application journey. Your contributions will help to enhance the university’s global mission by playing a crucial role in welcoming talented international students from around the world.

If you’re looking to make a tangible impact in a fast-growing and internationally-focused team, we’d love to hear from you!

About You

To be suitable for this role you will need to have experience in the below key accountabilities:


	Previous demonstrated experience and in-depth knowledge in international admissions including entry requirements and selection requirements, and the processing of the advanced standing assessment.
	High level organisational skills, including strong attention to detail, the ability to follow-through on tasks and the ability to work under pressure and to deadlines.
	Excellent oral, written and interpersonal communication skills.
	Ability to effectively use word processing, spreadsheet and database packages, preferably Windows 7 and Excel.
	A demonstrated strong commitment to client service principles and the ability to be flexible and to anticipate and be responsive to client needs.
	An in-depth knowledge of Swinburne University of Technology courses, entry requirements and selection requirements would be advantageous.


Qualifications

Completion of a degree with subsequent relevant work experience; or completion of a diploma and subsequent relevant work experience; or a combination of relevant experience and education training.

Please note: This position is open only to applicants who have valid work rights in Australia

About Swinburne University of Technology 

Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research, so that:


	Every Swinburne learner gets a work experience
	Every Swinburne graduate gets a job
	Every Swinburne partner gets a tech solution
	Swinburne is the prototype of global best practice


The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.

To Apply 

Please submit your CV and cover letter addressing your suitability for this position.

To review the Position Description and to apply, please scroll down to the bottom of the page.

If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page.

For more information about the role, please email talentacquisition@swin.edu.au

Please Note: Appointment to this position is subject to passing a Working with Children Check.

If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on talentacquisition@swin.edu.au

Applications Close: Tuesday 3 December 2024, at 11.30pm

Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance.

Diversity, Equity and Inclusion

Swinburne University of Technology is dedicated to creating a varied, welcoming, and open learning and work environment that embraces diversity, promotes inclusion, ensures fair access to opportunities, and actively opposes bullying, discrimination, sexual harm, victimisation, and vilification. We appreciate every individual in our community, regardless of ability/disability, age, cultural and ethnic background, sex, sexual orientation, gender identity and expression, and family and relationship status. For further details on our efforts, please explore our Equity & Diversity website.

Disability and Reasonable Adjustments

Swinburne University of Technology actively supports and encourages individuals with disability to apply. We provide reasonable adjustments throughout the recruitment and selection process by ensuring that we cater to the access and participation needs of all candidates.

For a confidential conversation about your accessibility needs or to offer feedback on how we can enhance our recruitment processes to accommodate any adjustments you may require, please contact Swinburne’s Disability Confident Recruitment at DCR@swin.edu.au or call +61 3 9214 3550.

Science in Australia Gender Equity (SAGE) at Swinburne

Swinburne is enhancing gender equity and diversity, with a focus on science, technology, engineering, maths and medicine (STEMM), by participating in the Science in Australia Gender Equity (SAGE) program.

Swinburne University is actively engaged in improving representation and participation of women in STEMM fields, aiming to address ongoing gender inequity. As an inaugural recipient of the Athena SWAN Institutional Bronze Award, we have implemented our original SAGE Action Plan (2019-2021) and continue our commitment through the current SAGE Action Plan (2022-2025), focusing on meaningful actions to foster long-lasting change and advance gender equity and diversity in STEMM.

Aboriginal and Torres Strait Islander Applicants

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

For any support please contact talentacquisition@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan

Victoria’s Commitment to Action: Improving international student employment outcomes

As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.

We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant
#LI-SW


Swinburne University of Technology

Norway, Trondheim

About the job

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

The Department of Marine Technology at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD candidate for the EU funded project “Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC)”.

The ICONIC project is funded by the European Union's Horizon Europe Research and Innovation Actions, the UKRI Horizon Europe Guarantee scheme, and Innosuisse. The consortium aims to develop innovative digital and physical tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. The proposed integrated control solutions will be demonstrated by an extensive validation study via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data, and real-world wind farm field tests.

The main task of this PhD project is to develop an integrated digital twin for estimating online loads and the remaining useful life of critical components of wind turbine. This PhD project is supervised by Professor Amir R. Nejad.  

Your immediate leader is Head of the Department.

Duties of the position


	Development of reduced order models
	Integration of models provided by other partners
	Development of an integrated digital twin
	Test and validation of developed system


Required selection criteria


	You must have a professionally relevant background in Mechanical Engineering, Marine Engineering, or Mechatronics
	Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level
	You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
	You must meet the requirements for admission to the faculty's doctoral program
	Good written and oral English language skills. This can be documented by an approved test. Approved tests are TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).


The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant 

Preferred selection criteria


	Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge of statistics 
	Familiar with data-driven methods, or ROM


Personal characteristics


	Strong analytical skills
	Strong communication skills 
	Team worker 
	Ability to take initiative and work independently


Emphasis will be placed on personal and interpersonal qualities.

We offer


	exciting and stimulating tasks in a strong international academic environment
	an open and inclusive work environment with dedicated colleagues
	favourable terms in the Norwegian Public Service Pension Fund
	employee benefits


Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years. 

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering within three months of employment, and that you participate in an organized PhD programme during the employment period. 

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must be attached to the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include: 


	CV and certificates 
	transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
	A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
	Motivation letter (max one page).
	Name and contact information of three referees
	If you have publications or other relevant research work


If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills, please attach this as well.

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Professor Amir Nejad, email Amir.Nejad@ntnu.no. If you have any questions about the recruitment process, please contact Marit Gjersvold, e-mail: marit.gjersvold@ntnu.no

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.  

Application deadline: 11.12.2024



NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Marine Technology

We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.

Deadline 11th December 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Jonsvannsveien 82, 7050 Trondheim


Norwegian University of Science and Technology

The starting salary for a PhD student is 3000 EUR/month.

Finland

The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems. The research group is seeking a talented PhD student with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control.

The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent developments in learning Operator Theoretic representations of dynamical systems that focus on model interpretability, scalability to high dimensions, and data efficiency. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.

Outstanding researchers from the areas of Control Engineering, Robotics, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical skills as well as be fluent in spoken and written English. Successful candidates will have the opportunity to collaborate with the vibrant Aalto research community, including the Intelligent Robotics group and the Mobile Robotics group, as well as the Finnish Center for Artificial Intelligence. The group also actively collaborates internationally with top institutions in the US and Sweden.

If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering.

WE OFFER

The position will be filled for a period of 4 years (2 + 2). The starting date is in January 2025 or as mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a PhD student is 3000 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

READY TO APPLY?

Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now!” link below.

Applications received before December 15th, 2024 (23:59 EET (GMT+2)) will be given guaranteed consideration. Applications will continue to be processed and reviewed following this date until positions are filled, but candidates are encouraged to apply as soon as possible.

Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application:


	A letter of motivation describing your research interests and how the research fits to the Nonlinear Systems and Control group (max. 1 page)
	Curriculum vitae (include the contact details of at least two references, and if available, a list of publications)
	PDF copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted). Unofficial transcripts are acceptable for application purposes.


Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary.

ADDITIONAL INFORMATION

For further information about the application or the position, please contact Assistant Professor Shankar Deka, shankar.deka@aalto.fi. Additional information in recruitment process related questions, please contact HR Partner Camilla Hanganpää, camilla.hanganpaa@aalto.fi.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 12 000 students, 400 professors and close to 4 000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, 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.

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

Australia, Canberra

Classification: ANU Senior Manager 1 (Engineering)

Salary package: $128,316 - $134,446 per annum plus 17% superannuation

Terms: Full time, Continuing (Contingent Funded)

This position is  continuing (contingent funded) . The funding that supports this project has an expected end date of 30 June 2027. 

Working at ANU This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

We offer:


	Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
	Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
	Designated parent rooms, quiet spaces and childcare facilities on campus,
	Career support, training, mentoring & upskilling opportunities .


For more information on a range of lifestyle, financial and non-financial rewards and programs, please  click here . To see what the  Science at ANU  community is liking, we invite you to follow us on social media at  Instagram  and  Facebook .

A Diverse and Inclusive Team 

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disabilities. To find out more, please click  here .

ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles  here . We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have a non-linear career path, career gaps or career

breaks

are focused on developing advances in the quantitative characterization of the geological materials and downstream products (eg, crushed, separated) along the value chain from the mine to mill The Senior Engineer will support this partnership by leading the technical delivery of data within Pilot Worked Example programs through the OreAI workflow analysis.

The Senior Engineer position will sit within the Department of Material Physics, Research School of Physics. The Senior Engineer will maintain close cross-disciplinary working relationships with other Senior staff in the OreAI program. The person will manage complex engineering assignments from concept through to implementation, entailing technical specifications, detailed planning and supervision of internal personnel and resources.

The Person

We are looking for a qualified Phd/MSc engineer with practical experience in delivery of advanced geomaterials/materials science or engineering characterization and analysis programs. Experience in working on CT-based geo-material science applications is highly desirable. The person should have experience in project management of scientific or research projects, involving detailed planning and delivery of project proposals and other documents related to project management and delivery. A strong team player with excellent interpersonal skills and the capacity to quickly develop productive, professional relationships with colleagues and stakeholders. Highly developed organizational skills and effective self-management are key.

Learn more about the ground-breaking research and work class facilities of the Research School of Physics  here .

For more information about the position please contact Prof. Mark Knackstedt on  E:  mark.knackstedt@anu.edu.au .

To Apply

To be considered for this position, please upload the following documents:


	A current curriculum vitae (CV), and
	No more than a two page summary addressing your suitability against the selection criteria.


The committee will consider candidates that do not meet one or more aspects of the selection criteria. If you require adjustments to participate in any of the above assessments, please contact our HR team at E:  hr.cos@anu.edu.au  or T: +61 2 6125 9371.  Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates' consent and it will not have any bearing on hiring decisions.

For examples of common reasonable adjustments please click  here .

The successful applicant must have the right to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.


The Australian National University

United Kingdom, Southampton

Programmer (python/C) in the Collaborative Computing Project 4 Macromolecular Crystallography.

We look for a programmer in the field of macromolecular crystallographic computing. We seek to develop, implement, and apply methodology for identification and examination of multiple structural states and conformations for this, and will employ the Bayesian decomposition we have developed. Any development is to be implemented within the programs servalcat/refmac for the CCP4 computing programming suite and released publicly.

The successful candidate will be knowledgeable in crystallographic theory and able to code. The post will be based at Southampton with regular research visits to the LMB Cambridge and to the Research Complex at Harwell for interaction with the CCP4 core team. The project has a focus on time resolved work and cooperates with the UK XFEL hub at the Diamond Light Source. This contract is initially 15 month, but may be extended.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.


University of Southampton

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Qazvin University of Medical Sciences

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Clinical and Health 2024401-500^th

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Clinical and Health401–500^th

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Qazvin University of Medical Sciences

About

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Clinical and Health 2024401-500th

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Key Student Statistics

Subjects Taught at Qazvin University of Medical Sciences

Clinical and Health.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}401–500th

Clinical and Health 2024401-500^th

Clinical and Health401–500^th