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at research hospitals (eg. Study nurse, data collectors), and students. QUALIFICATIONS • PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal
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at the department of mathematics with work of placement at Integreat. We are looking a candidate with a PhD in philosophy of science, and who can also demonstrate expertise and experience in applied ethics. The main
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prediction modelling providing ample scope for extending your research portfolio in these areas. You must have a PhD (or near to completion) in a relevant subject area if either epidemiology, biostatistics
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education, psychology, sociology, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The PhD fellowship is
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, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The PhD fellowship is affiliated with CREATE’s research strand 3 «Addressing key
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Background We are seeking to appoint an experienced systematic reviewer to join our ambitious and growing Biostatistics, Evidence Synthesis, Test Evaluation and Modelling team (BESTEAM) in the Department
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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supervision of final year projects for undergraduate students Job Requirements: Candidates must have PhD in Statistics, Biostatistics or closely related fields Solid knowledge of various methods for survival
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prediction modelling providing ample scope for extending your research portfolio in these areas. You must have a PhD (or near to completion) in a relevant subject area if either epidemiology, biostatistics
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necessary. Contributing to data pipeline and administration, which may include data clean, linkage, and quality control. Candidates should have: PhD in a relevant area (e.g. epidemiology, biostatistics