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. • Produce high-impact peer-reviewed publications, including as first and senior author. • Collaborate with international teams of modellers, economists, and public health experts. • Supervise and mentor
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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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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
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commercialization. Why Join Us? This role is ideal for researchers who want to bridge cutting-edge science with real-world impact. You will be embedded in a collaborative and forward-thinking ecosystem with
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sources, including commercial databases and alternative, non-traditional datasets. Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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to promote translational impact. Job Requirements: PhD in Computer Science, Artificial Intelligence, Data Science, Computational Biology, or a related discipline. Strong research expertise in machine learning
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of all findings, present findings to colleagues) Assist PI with writing for ethics/grant application. Assist PI with organising and publishing findings in high impact academic journals of good reputation
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membranes and study their structure-performance relationships. Through these contributions, the Research Fellow will support NTU’s mission of research excellence and societal impact through innovation Key
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invites applications for a Research Fellow position in the field of battery fire modelling and safety. The successful candidate will join an interdisciplinary research team working on advanced computational