20 computer-programmer-"Multiple"-"Prof"-"FEMTO-ST-institute"-"U.S"-"U"-"O.P" positions at Hong Kong Polytechnic University in Hong Kong
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School of Design Part-time Research Assistant (Ref. 250813019) [Appointment period: two months] Duties The appointee will assist the project leader in the research project - “Multiple component
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Department of Health Technology and Informatics Project Assistant (two posts) (Ref. 251027009) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in
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Department of Computing Research Assistant / Part-time Research Assistant (Ref. 251024004) (1) Research Assistant [Appointment period: three to six months] (2) Part-time Research Assistant
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include English Language, Chinese Language and Mathematics; (b) be full-time local undergraduate students enrolled in the Government funded BSc(Hons) in Hotel and Tourism Management programmes at the School
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Department of Logistics and Maritime Studies Research Assistant (Ref. 251027001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “A machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime...
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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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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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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, preferably in a higher education setting; (c) have good knowledge and skills in quantitative and qualitative data analysis using relevant computer software and applications such as SPSS, MaxQDA and NVivo
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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