50 parallel-and-distributed-computing-phd uni jobs at Hong Kong Polytechnic University
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Department of Computing Part-time Research Associate (Ref. 250513002) [Appointment period: one month] Duties The appointee will assist the project leader in the research project – “Physical neural
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to the development of the School. Qualifications Applicants should have: (a) a PhD degree in Nursing or a relevant discipline with substantial years of relevant experience; (b) professional qualifications
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; and (d) perform any other duties as assigned by the Dean of School or his/her delegates. Qualifications Applicants should have: (a) a PhD degree in Fashion Interaction Design, Digital Fashion
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related undergraduate programme in Hong Kong, and has made great achievements in BME education, innovative research and technology transfer. Currently BME has four thematic research areas, including
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to programme/course planning, administration and development; (d) assist in organising student activities and training workshops to promote students’ learning experience; (e) undertake administrative
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administration and management in the University; and (h) perform any other duties as assigned by the Head of School or her delegates. Qualifications Applicants should have: (a) a PhD degree in Finance
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Department of Industrial and Systems Engineering Project Associate (Ref. 250508007) [Appointment period: five months] Duties The appointee will assist the project leader in the research project - “Text-guided generative AI for eco-innovative design”. Qualifications Applicants should have a...
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Innovative Multimedia Entertainment (MScIME); (b) engage and provide a high-quality learning experience to students by designing, coordinating and teaching the subject(s) for the MScIME programme offered by
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Department of Computing Project Associate / Project Assistant (Full-time / Part-time) (Ref. 250328021) [Appointment period: one to twelve month(s)] Duties The appointee will assist the project
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- “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should be form five school leaver with