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coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university of Oxford your happiness and wellbeing at work is
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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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strong programming skills, particularly in Python. Good interpersonal skills and the ability to work as part of a team are essential in order to make a strong contribution to the project. Benefits
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genetics, biostatistics and/or bioinformatics, including a strong record of publications and presentations. Similarly, proficiency in the use of programming languages, for example R or Python, is required
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proficient in the use of programming languages, for example R or Python, and have excellent communication skills, including the ability to write for publications, create figures reflecting data analyses
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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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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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(Python preferably) for medical imaging processing and machine learning. You are flexible, pro-active and an adaptable team worker. This is a full time, fixed term post (part time considered) for 12 months
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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