National Taiwan University of Science and Technology (Taiwan Tech)

Position Details Fixed Term – 2 Years | Full-Time Higher Education Officer Level 5 | $82,657 - $91,222 p.a. Academic Level A | $88,842 - $107,666 p.a. Location: Bedford Park / Kaurna Country HEO5 Position Description Level A Position Description The successful candidate will be appointed to either the HEO5 or Level A position. Please indicate on your application which position(s) you would like to be considered for. College of Medicine and Public Health At the College of Medicine and Public Health, we deliver clinical, population and laboratory-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the Research Assistant Role (HEO5) As a Research Assistant within the College of Medicine and Public Health, you will contribute to an NHMRC-funded project exploring the genetic diversity and therapeutic potential of targeting trace amine receptor 1 (TAAR1) for psychiatric disorders. Working under the guidance of the Chief Investigator and alongside a collaborative research team, you will assist in the design, coordination, and implementation of innovative pharmacology research. This role offers the opportunity to engage in cutting-edge computational methodologies, contribute to high-quality publications, and foster partnerships across academia and industry. Assist in designing and implementing computational approaches integrating chemical, biological, and structural data. Collaborate with the research team to achieve project milestones and contribute to scholarly outputs, including journal publications. Support planning and execution of research activities, including literature reviews, data production, and participation in seminars and conferences. Contribute to coordination and engagement with industry partners to deliver collaborative project outcomes. About You You will bring a solid foundation in pharmacology or a related discipline, coupled with experience in advanced computational techniques. Your ability to collaborate effectively, communicate clearly, and contribute innovative ideas will be key to supporting the success of this research project. A proactive approach to problem-solving and a commitment to high-quality research outcomes will set you apart. A degree in Chemistry, Biochemistry, Pharmacology, or a related field (or equivalent experience). Demonstrated experience in molecular modelling, simulations, and applying AI/ML techniques to protein research. Strong interpersonal and communication skills, with the ability to engage diverse stakeholders and industry partners. Proven ability to critically review literature, manage research tasks, and deliver project milestones on time. About the Research Associate Role (Level A) This Research Associate position in Computational Biology/Pharmacology offers an exciting opportunity to contribute to an NH&MRC-funded project investigating the genetic diversity and therapeutic potential of targeting trace amine receptor 1 (TAAR1) for psychiatric disorders. Working under the guidance of the Chief Investigator, you will play a key role in designing and implementing computational methodologies, collaborating with a multidisciplinary team, and driving innovative research outcomes. The role also involves contributing to publications, engaging with industry partners, and supporting postgraduate students. Assist in the design and implementation of computational approaches integrating chemical, biological, and structural data. Collaborate with the research team to deliver project milestones and contribute to high-quality publications. Support coordination of project tasks, including engagement with industry partners and supervision of postgraduate students. Establish and maintain research collaborations at institutional, national, and international levels to enhance outputs and impact. About You You are an emerging researcher with a passion for computational biology and pharmacology, ready to contribute to innovative projects in psychiatric disorder research. You bring strong technical expertise, collaborative skills, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field. Experience in molecular modelling, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level. Excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders and industry partners. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Wide range of professional development activities and services We embrace diversity and promote equity and inclusion for all students and staff Vibrant campus life and amenities including on campus health care services, gym and childcare centre (Bedford Park, South Australia). Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples.  We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan  Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. Please note that you may be required to provide evidence that you are up to date with COVID-19 vaccinations, in line with the Flinders University COVID-19 Vaccination Policy  How to Apply and Information To apply online, please visit the Jobs@Flinders website via the job portal.  You are required to submit a CV, along with a Suitability Statement as a separate document.  This should be no more than 3 pages, and address the Key Position Capabilities of the HEO5 Position Description or Level A position description For more information regarding this position, please contact Dr Pramod Nair Certification Applications to be submitted before 10.00pm: 20 Jan 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

About Us King’s College London (KCL) is one of the top UK universities, ranked 36th in the world (Times Higher Education World Rankings 2025). KCL has over 33,000 students from some 190 countries, and over 8,500 employees.  The Faculty of Life Sciences & Medicine (FoLSM) is configured as six Schools and the cross-cutting Centre for Education and it is located on four sites – Guy’s, St Thomas’, Waterloo and Denmark Hill. King’s Comprehensive Cancer Centre (CCC) headed by Professor Sheila Singh is the academic arm of one of the leading cancer centres in Europe. Research at the CCC is supported by strategic investments such as the King’s partnership in the Cancer Research UK City of London Centre (CRUK CoL), CRUK RadNet, the KHP Experimental Cancer Medicine Centre (ECMC) and Breast Cancer Now Research Unit. The Department of Haematology of the CCC is based in the Denmark Hill campus and comprises 10 research groups led by King’s academics, including several clinicians. Research includes Leukaemia & Myeloma, Lymphoma, Bone Marrow Failure & Myelodysplastic Syndromes, Clonal Haematopoiesis, Allogeneic Stem Cell Transplantation, Molecular Haematology, Sickle Cell Disease and Venous Thrombosis and is supported by flow cytometry and single cell core facilities and the Haematology Biobank. For an informal discussion or to find out more about the role please contact john.strouboulis@kcl.ac.uk  About The Role We are seeking to appoint a Senior Lecturer to lead research and build upon successful programmes in the rapidly evolving discipline of Immune Haemato-oncology, which is key to therapeutic strategies in haematology. The department is growing and is looking to enhance its international competitiveness in this emerging area. We have active clinical and research programmes in understanding the immunobiology of haematological disease. The postholder will help develop their independent programme of research in molecular immunology to make a substantive contribution to KCL's portfolio of research in cell and gene therapeutics, focusing on haemato-oncology, and novel diagnostic and therapeutic strategies for haematology. This post will complement strengths at King’s Haematology including bone marrow failure, haematopoiesis, myeloid malignancies, lymphoma, hemoglobinopathies and gene therapy. The postholder will also develop collaborative research across the School of Cancer & Pharmaceutical Sciences (SCPS) and the Faculty of Life Sciences and Medicine (FoLSM). The postholder will also contribute to research training and the development and delivery of undergraduate and postgraduate education programmes within the SCPS and FoLSM. This is a full-time post (35 hours per week), and you will be offered an indefinite contract. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in immunology, or haemato-oncology or a related subject. Track record of developing new knowledge and innovative research in immune haemato-oncology as evidenced, for example, by publications in high impact scientific journals and by invited presentations of research at international conferences. A track record of attracting competitive research funding in the relevant research area. Experience with cytometry platforms and multi-omics approaches. Ability to teach relevant subjects at undergraduate and postgraduate levels. Highly effective oral and written communication skills, to convey conceptual and complex ideas and information, alongside good organisational and administrative skills. Ability to lead and function within a team and to plan and prioritise workload. Supervision of undergraduate projects and postgraduate research students. Desirable criteria  Proactive in creating and developing interactions and collaborations with colleagues. Teaching qualifications, development and delivery of teaching materials (under- and post-graduate levels)  Ability to deliver collaborative projects, including with industry projects  Research track record in myeloid disease  Health and safety responsibility and accountability for students and staff (researchers, technicians etc) in the post holder’s team.  Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held in February 2026. This post is subject to Disclosure and Barring Service and/or Occupational Health clearances. Grade and Salary: £65,091- £74,613 per annum inclusive of London Weighting Allowance Job ID: 134625 Close Date: 18-Jan-2026 Contact Person: Professor John Strouboulis Contact Details: john.strouboulis@kcl.ac.uk  

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Computer Vision and Image Processing to lead the course, "Machines that see," which introduces students to core computer vision concepts, a vital area of AI. This role involves delivering expert instruction on Image Processing Fundamentals (including image formation, filtering, and enhancement), feature extraction, object detection, and image classification, while covering both traditional methods and advanced deep learning techniques such as CNNs and Vision Transformers (ViTs). The instructor's responsibilities include developing and maintaining up-to-date course materials, fostering a stimulating learning environment, supervising student projects, and collaborating on curriculum enhancement, ensuring students gain hands-on experience applicable to industries like healthcare and automotive. Responsibilities include: Delivering high-quality instruction in Computer Vision and related AI topics. Develop and maintain course materials, assessments, and laboratory content reflecting current advances in the field. Create a stimulating learning environment that encourages curiosity and innovation. Supervise student projects and provide academic mentorship. Collaborate with colleagues to enhance curriculum design and teaching effectiveness. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field. Demonstrated expertise in Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI