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disciplines. There will be projects available in biostatistics, evidence synthesis, health economics, qualitative research and more. Each project will involve experiencing working for two months as part of a
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that you meet the following criteria: Have, or about to obtain*, a PhD in public health, epidemiology, computer science, biostatistics, engineering, geography, urban planning, or a related area (*must be
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imaging data and identify & troubleshoot technical or scientific problems. You will have a Doctoral (PhD) degree or equivalent, or be near completion, in Biostatistics, Mathematics, Statistics, Statistical
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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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. 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
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related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g
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, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or health data sciences and experience in the programming of R packages
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and Experience • Ability to work well as part of a team and rapidly acquire new skills • Detailed subject knowledge relevant to cancer late effects, bioinformatics and biostatistics
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experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel