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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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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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devices for health management applications as part of our Shenzhen-Hong Kong-Macau Science and Technology Plan Project (Category C). Please find the relevant information about the research group at https
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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, Neuroscience, Cognitive 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
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Ph.D. degree preferably in stem cell biology, molecular biology, developmental biology, or a
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Ref.: 533637 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral
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the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree, preferably in Medicine, Microbiology, Biology, or a related discipline. They should be highly competent in
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subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work independently
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subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology