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Oxford-R. E. Jones Graduate Scholarship The Oxford-R.E. Jones Graduate Scholarship is available for applicants with Home fee status who are applying to the Centre for Doctoral Training programme in
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recently as a result of a number of successful funding applications and continues to be at the cutting edge of vaccine R&D. This position is offered full-time on a fixed-term contract initially for 2 years
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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relevant discipline and possess sufficient specialist knowledge in the discipline. You should be proficient in Python or R with experience in data science libraries, advanced NLP and LLM techniques and
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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. Knowledge of phenotyping in federated studies and R, python, or another programming language is desirable. This role does not meet the criteria for sponsorship under the Skilled Worker visa under the UK Visa
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with
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experience of using R or python for data manipulation and statistical analysis (if python then must also learn R) and can prioritise workload. This is a full time, fixed term post (part time considered) for 1
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track record of publishing impactful statistical research using large health datasets, and ideally experience securing research funding. You’re confident using R (or similar), thrive when working