37 computational-materials-physics Fellowship positions at Hong Kong Polytechnic University
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Department of Rehabilitation Sciences Postdoctoral Fellow (Ref. 250827011) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research project - “Human memory: Facts, myths and training (financial support for book writing)”. He/She will be...
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Department of Health Technology and Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250827013) (1) Postdoctoral Fellow (2) Research Associate / Research Assistant
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250827014) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research
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period: six months] Duties The appointees will assist the project leader in the research project - “Exploration of recycling textiles for production of 3D printing materials”. They will be required to: (a
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”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification in Medicine, Life Sciences, Chemistry, Materials Science, or related fields from a reputable University and must have
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, applicants should have an honours degree or an equivalent qualification. Preference will be given to those with background in laser, ceramic materials and CAE. Applicants are invited to contact Prof. Wen X
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be given to those with background in laser, ceramic materials and CAE. Applicants are invited to contact Prof. Wen X. Sitman at telephone number 3400 2473 or via email at xw.wen@polyu.edu.hk
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Department of Computing Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time) (Ref. 250827004) (1) Postdoctoral Fellow (Full
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250723007) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project
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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines