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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
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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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using thematic analysis) – please indicate clearly skill sets possessed in application ability to work independently experience in project coordination / working with schools is preferred, but not
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with faculty, researchers, and other team members on various projects. Requirements A good PhD degree, preferably in data science, biomedical sciences, or a related discipline; Experience in
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degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large
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subject to satisfactory performance. Applicants should possess a Ph.D. degree in Biological/Biomedical Sciences, Microbiology, Bioengineering, or a related discipline, with research experience in cell
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are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas
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transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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vulnerable groups to address digital inequality. He / She will work closely with the PI and the project team to: Contribute to all aspects of research process, including study design, instrument development