767 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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and staff with the skills and knowledge needed for effective community, cultural, faith and/or language-based activities. Manage the application and selection process of the scholarship programme and
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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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essential central services to catalyse and support lifelong education across the entire university, including grant management, outreach, application management, and guidance in programme innovation and
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knowledge of computer and data analysis applications (such as SPSS and MS Office); have good communication skills with colleagues and fluency in English; and have experience in the process of conducting
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partners. Now, in collaboration with Department of Social Work, the Provost Office intends to expand this programme and hire several additional course instructors. Their roles and responsibilities include
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candidates will be part of a multi- disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This specific role will provide you with a unique
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the alignment and implementation of student wellness initiatives and programmes in the hostels. This includes working with the team to establish and manage programme evaluation frameworks to track outcomes
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are seeking a highly motivated and talented Research Fellow
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submitted through this link will be processed.) This person will work closely with the other contract management team members and programme managers on matters related but not limited to: Consolidate
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the