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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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contributes to real-world solutions and lasting global impact. If you're passionate about enabling r What We Offer Working at the University of Oxford offers several exclusive benefits, such as: 38 days
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work experience. You must also have demonstrable ability to write R code for data import & manipulation, a working knowledge of SQL, experience using/processing large or complex datasets and a meticulous
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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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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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, and experience analysing large volumes of immunological data from multiple assays is also essential. You will be proficient with the programming language R, or a related programming language such as
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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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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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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