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explore routes for commercialising certain features of DeLTA, potentially resulting in a spin-off company. About you You should possess expertise in Python and experience in software management and release
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should possess expertise in Python and experience in software management and release. Optionally, you will also have experience in computer vision applications and quantitative microscopy. Finally you will
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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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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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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