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About us The Centre for Sports and Exercise Medicine is an integral part of the Bloomsbury Campus of the Division of Surgery and Interventional Science. We are seeking to appoint an enthusiastic and proactive researcher to work on a set of complementary projects investigating the...
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Internship Opportunities, Summer 2024 The MRC Biostatistics Unit, one of Europe's leading biostatistics research institutions, is pleased to announce the launch of a Summer Internship Programme for
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An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and drug development to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit in
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An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and drug development to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit in
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 6 days ago
practical aspects of epidemiology and biostatistics A degree or postgraduate qualification in statistics/epidemiology (or with a major statistical component) or equivalent experience Applied knowledge
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, including the development of scientific advice for innovative biostatistical and epidemiological approaches to real world data and evidence generation, leading the introduction of analytical methodology
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participants who consent to the study. The post holder will be a data scientist who can carry out dry lab (bioinformatics, biostatistics, epidemiology) research, participate in project management and student
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
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presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
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. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses