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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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matter, biological physics and/or fluid mechanics. Experience of publishing in (or submitting to) journals of international standing. Programming skills, e.g. Python Strong oral and written communication
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quantitative field. Key Criteria Experience in conducting experiments with human participants Programming skills in Python and/or MATLAB Excellent time-management and organisational skills Excellent written and
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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. Proficiency in Python Background in statistical learning theory, conformal prediction, multiple hypothesis testing, quantum machine learning, neuromorphic computing, or reliable inference Demonstrated ability