116 parallel-and-distributed-computing-phd positions at Hong Kong Polytechnic University in Hong Kong
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 241030001-IE) This new Faculty of Computer and Mathematical Sciences
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assigned by the Head of Department or his/her delegates. Qualifications Applicants should have: (a) a PhD degree in Computer Science with an excellent track record of research in AI and Computational
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Department of Health Technology and Informatics Postdoctoral Fellow (Full-time/Part-time) (Ref. 250728002) [Appointment period: twelve months] Duties The appointee will assist the project leader in
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Department of Applied Mathematics Teaching Fellow in Engineering and Computational Mathematics / Applied Statistics and Financial Mathematics / Applied Optimization and Operations Research / Data
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computing such as large language models, distributed computing, and Data science. Applicants with experience in C/C++/Golang or KDB/Q or DDD/Eventsourcing/CQRS are strongly preferred. Applicants are invited
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Department of Health Technology and Informatics Postdoctoral Fellow (Full-time/Part-time) (Ref. 250728001) [Appointment period: twelve months] Duties The appointee will assist the project leader in
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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responsibility. Preference will be given to those with interest and potential in pursuing a PhD in Innovation Management. Applicants are invited to contact Prof. Ryan Wang at telephone number 2766 7357 or via