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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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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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. 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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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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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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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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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
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findings, and have experiencing coding in R and/or Stata and data visualisation. It is desirable for you to have demonstrated working in a research team and contributing ideas for new research projects. It