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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines, and in-depth experience with at least
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competence in philosophy of AI or philosophy of technology are preferred. The appointment will be affiliated with AI & Humanity-Lab: https://ai-humanity.net . The Post-doctoral Fellow is expected
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Science, Education Measurement, Psychology, or a related discipline. They should have relevant working experience, good communication skills, and an excellent command of written and spoken English and
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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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Fellow (PDF) in the Sau Po Centre on Ageing within the Faculty of Social Sciences (Ref.:532141) to commence as soon as possible, on a one-year temporary basis for PDF, with the possibility of renewal
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Science or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written
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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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. Applicants should possess a higher degree in Social Science, Education Measurement, Psychology, or a related discipline. They should have preferably one year of relevant working experience. Good communication
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Ref.: 532117 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Teaching and Learning Innovation Centre (Ref.: 532117), to commence as...