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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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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 quality of life for older adults through innovative research and community engagement. Applicants for Post-doctoral Fellow should possess a PhD degree or equivalent in Social Science, Psychology, Public
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. Applicants should possess a Ph.D. degree in Structural Biology (macromolecule crystallography or cryo-EM) or Virology, and demonstrate exceptional experimental, writing, and communication abilities. Preference
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one of the following programming languages: R, Perl, Python, C/C++, JAVA, etc. Experience in cancer research and/or molecular biology will be an advantage. Preference will be given to those with
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. Applicants should have completed a Ph.D. degree in relevant fields of philosophy (or related fields) by the time of appointment. The position is open to all areas of specialisation, but applicants with
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the Department of Microbiology. Applicants should have a Ph.D. degree with extensive research experience in virology or biochemistry; expertise in virus-host proteome and antiviral drug development will be
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doctoral degree by research (Ph.D. or equivalent) in psychiatry, psychology, neuroscience, social sciences, or a relevant discipline. They should have excellent organisational, communication and analytical
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a Ph.D. degree in Health Science, Sport Science, Psychology, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research dissemination
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. degree in Biomedical Sciences, Epidemiology, Biostatistics or related disciplines, preferably with at least 1 year of post-qualification experience Experience in clinical research, epidemiological data