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Department of Industrial and Systems Engineering Research Fellow (Ref. 251015004) [Appointment period: one month] Duties The appointee will assist the project leader in the research project - “Towards digital biomanufacturing – developing physics-informed machine learning framework for the...
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of Financial Analysts Societies (EFFAS). Experience in teaching programme development and management will be an advantage. The appointee will contribute to the overall teaching and action research effectiveness
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the Faculty of Law, to commence in August 2026 or January 2027, for a period of two years. The Global Academic Fellows Program was created to provide outstanding and aspiring legal academics with time and
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primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
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definite advantage. Outstanding computer science/engineering skills towards AI /ML in ME and ability in developing IT systems for the smooth conduct of teaching and learning activities will be highly
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doctoral degree in Electronic Engineering, Computer Science, Artificial Intelligence or a related discipline plus at least three years of postdoctoral research experience or an equivalent qualification and
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Department of Computing Research Assistant (Full-time/Part-time) (Ref. 250827001) [Appointment period: four months initially, with possibility of further appointment] Duties The appointee will
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Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate (Full-time/Part-time) / Research Assistant (Full-time/Part-time) (Ref. 251127006) (1) Postdoctoral Fellow (four posts) (2) Research Associate (Full-time/Part-time) (two posts) (3) Research...
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, Marine Science, Computer Science, or related fields (obtained within the last 2 years). Strong research record with publications. Experience in programming, satellite data processing, and/or fieldwork
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent