34 phd-mathematical-modelling-population-modelling Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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). To commence from September 1, 2025 to August 31, 2026. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, English language education, science, mathematics
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of reports · perform other duties as assigned Requirements a Ph.D. degree in Physics, Materials Sciences or Electronic Engineering at least 1 year’s relevant working experience (including PhD research
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Engineering at least 1 year’s relevant working experience (including PhD research experience) in semiconductor device fabrication and characterization. an excellent command of written and spoken English good
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), to commence as soon as possible, on a one- to three-year temporary contract, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree
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availability and satisfactory performance. Applicants should possess a PhD degree in kinesiology, exercise science, public health or related disciplines. Applicants should have a strong sense of responsibility
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Ref.: 532561 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow in the Division of Cardiology of the Department of Medicine, School of Clinical Medicine (Ref.:...
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research