352 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" Fellowship positions in Singapore
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formulations & solution techniques: convex optimization, dynamic programming, NLP, MILP and MINLP. Decomposition and relaxation techniques to tackle computational problems in distribution grid planning. Engage
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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to candidates aiming to pursue an academic career, as the programme is specifically designed to support such aspirations. Preference will be accorded to candidates aspiring to pursue an academic career, as the
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an LLM-based chatbot to align it with computational thinking and AI learning objectives, handling and coordinating large-scale data collection, analysing data around human-AI collaboration, students
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Vo Dat Nguyen Host School : CCEB Email: datnguyen.vo@ntu.edu.sg Google Scholar: https://scholar.google.com/citations?user=6DpchCQAAAAJ&hl=en Dr. Nguyen’s research interests encompass mathematical
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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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