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-readiness and translational cancer research We welcome candidates from diverse academic and professional backgrounds including health sciences, data science, biomedical informatics, and computational fields
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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Post-embryonic development and anatomy of the zebrafish inner ear School of Biosciences PhD Research Project Self Funded Prof T T Whitfield, Dr E Noel Application Deadline: Applications accepted
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subject area and have a strong background in molecular biology and microbiology, ideally using a combination of E. coli, cyanobacteria, purple bacteria and other phototrophic microorganisms. Experience in
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contributions, and potentially co-author publications. It is particularly well-suited for students who are considering pursuing a PhD or an academic career after graduation. We welcome applications from all
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) in causal inference (e.g., statistics, econometrics, epidemiology, bioscience, data science), or a relevant quantitative discipline. Essential Application Understanding of non-randomised studies and