192 virus-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at Hong Kong Polytechnic University
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months initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Elucidating the molecular mechanisms of a supplement as a novel
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adaptive spatiotemporal processing and spike-based encoding”. Qualifications Applicants should have: (a) a PhD degree in Materials Science, Chemistry, Electronic Engineering, Applied Physics or a related
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in the language teaching classroom”. The project requires a statistician or an individual with exceptional statistical analysis skills to support research on computer-assisted language learning (CALL
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clinical support system for precision radiation therapy”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or equivalent qualification in Medical Physics
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The appointees will assist the project leader in the research project – “Research Centre for Future (Caring) Mobility”. They will be required to: (a) assist in research and development related to future
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the surface interface and structure-activity correlations in zeolites”. Qualifications Applicants should have: (a) a PhD degree in Chemistry, Chemical Engineering, Materials Science or a related discipline
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- “Artificial intelligence and management”. He/She will be required to: (a) coordinate events and conferences; (b) conduct high-quality research, especially in the area of Artificial Intelligence and
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of people with dementia: A randomized controlled trial”. They will be required to: (a) assist in the management of the project; (b) coordinate with collaborative partners; (c) assist in recruitment
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will assist the project leader in the research project - “Joint Research Centre for AI Taxation”. Qualifications Applicants should: (a) have a doctoral degree or an equivalent qualification and must
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Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions