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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
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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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computational analysis; (c) develop and validate mathematical or machine learning models; (d) prepare research reports and documentation; and (e) perform any other duties as assigned by the project
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Department of Computing Postdoctoral Fellow (Ref. 250905002) [Appointment period: six months] Duties The appointee will assist the project leader in the research project – “Research on digital
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Department of Computing Research Assistant (two posts) (Ref. 250827003) [Appointment period: each for four months] Duties The appointees will assist the project leader in the research project
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
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with academic background and solid knowledge of Applied Mechanics and Fluid Mechanics; (b) research experience in computational fluid dynamics (CFD); and (c) experience in handling project(s) in
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of Applied Mechanics or Control Science and Engineering; (b) research experience in computational fluid dynamics (CFD) or control system development of unmanned aerial vehicle (UAV); and (c) experience
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Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
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degree with at least three years of research/relevant work experience, preferably a doctoral degree in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial