80 parallel-computing-numerical-methods research jobs at Hong Kong Polytechnic University
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Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling research publications in the field of Fluid Mechanics. Applicants are invited to contact Miss
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) perform any other duties as assigned by the project leader or her delegates. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree in Interaction Design Human-Computer
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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- “Research on pose-driven animatable clothing rendering for fashion applications”. Qualifications Applicants should have: (a) an honours degree in Computer Science or Electronic or an equivalent
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Department of Computing Research Assistant Professor (four posts) (Ref. 260227003) The Department of Computing (COMP) of The Hong Kong Polytechnic University, founded in 1974, pioneers
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Department of Health Technology and Informatics Research Assistant (Ref. 260409006) [Appointment period: twelve months] Duties The appointee will assist the project leader in the project - “Scalable
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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Department of Computing Research Assistant Professor in AI and Digital Transformation for Education (three posts) (Ref. 260226006) The Institute for Higher Education Research and Development (IHERD
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- “Supply chain risk management”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have a strong background in computer science; (c) have experience in
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Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning