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, with the possibility of renewal) Applicants should possess a Ph.D. degree or an equivalent qualification in the field of health promotion, AI-assisted healthcare, chronic disease, or public health
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of neurodegenerative disease, hard-to-cute diseases, depression and pain. He/she will perform related research analysis, conduct clinical study, write reports and papers, assist in supervising postgraduate students and
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doctoral degree by research (Ph.D. or equivalent) in psychiatry, psychology, neuroscience, social sciences, or a relevant discipline. They should have excellent organisational, communication and analytical
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Ph.D. degree preferably in medical science, biological or biomedical science, or a related
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a doctoral degree (Ph.D.) in Stem Cell Biology, Molecular Biology, Developmental Biology, or a
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Bioinformatics, Computing/Programming, or a related discipline. Experience in using PMNN, ESM2 and RFdiffusion would be an advantage. The appointee will work in collaboration with research teams focusing
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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Bioengineering or Biomedical Engineering, with good experience in biological imaging and image processing. Those with basic knowledge of imaging system development would have an advantage. The appointee should be
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Hong Kong University of Science and Technology, Physics Position ID: HKUST -Physics -POSTDOC1_KTLAW1 [#29811] Position Title: Position Location: Hong Kong, Hong Kong [map ] Subject Areas: Condensed
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an advantage. The appointees will work with the Principal Investigator on various research projects related to end-of-life-care for persons with disabilities and families. Major duties include advanced data