67 parallel-and-distributed-computing-phd-"Meta"-"Meta" research jobs at Hong Kong Polytechnic University in Hong Kong
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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
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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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, Biochemistry, Nutrition, Food Science, Biomedical Engineering or a related discipline or an equivalent qualification; and (b) a strong desire to pursue PhD degree in the near future. Preference will be given
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. Qualifications Applicants should have: (a) a PhD degree in Public Health, Housing Studies, Urban Planning or related disciplines or an equivalent qualification and must have no more than five years of post
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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for the Research Associate post should have a master’s degree or a good honours degree in Computer Science or Programming with three or more years of research/relevant work experience. Applicants for the Research
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] Duties The appointees will assist the project leader in the research project - “AI-XR empowered computer-assisted surgery via effective fusion of empirical knowledge, human interaction, and machine