92 phd-scholarship-in-computational-material-science Postdoctoral positions in Hong Kong
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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Ref.: 532700 Work type: Full-time Department: Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry (08023) Categories: Senior Research Staff & Post-doctoral Fellow
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Ref.: 532494 Work type: Full-time Department: Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry (08023) Categories: Teaching Staff Applications are invited for appointment
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Ref.: 532608 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral
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. degree in Chemistry or equivalent, with a strong background in Organic Chemistry and Materials Chemistry. They should have fluency in written and spoken English and Chinese, a strong sense of
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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
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Ref.: 532591 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral
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Ref.: 532582 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral
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or two years, with the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in Mechanical Engineering, Biomedical Engineering, Materials Science and Engineering
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refereed publications. Knowledge in Chinese media system and global social media environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining