79 phd-scholarship-in-computational-material-science Postdoctoral positions in Hong Kong
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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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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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for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology
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Kong University of Science and Technology (HKUST). Prof Law's research group is interested in general topics in condensed matter physics with emphasis on topological materials, moiré materials and
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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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to satisfactory performance. Applicants should possess a Ph.D. degree in Microbiology, Biological/Biomedical Sciences or a related discipline. They should have at least 2 years’ research experience and
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satisfactory performance) Applicants should possess a Ph.D. degree in Biological/Medical Sciences or a related discipline. They should be self-motivated, responsible, able to work independently and in a team
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Ref.: 532734 Work type: Full-time Department: Department of Urban Planning and Design (01300) Categories: Senior Research Staff & Post-doctoral Fellow The Department of Urban Planning and Design invites applications for two positions as Research Assistant Professor (RAP) in Urban Analytics or...
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duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in
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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