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physical hypotheses. Run customised scripts using programming languages such as Fortran, Python, and/or MATLAB. Postprocessing and interpretating datasets from numerical simulations. Propose parameterization
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to improving the quality and efficiency of the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning
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https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information The UCL Ways of Working supports colleagues to be successful and happy at UCL through
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skills using R, Stata, SPSS, MPlus or Python. Experience managing nationally representative survey datasets and conducting complex statistical analyses (including multilevel modelling and SEM). Here's how
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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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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate clearly across disciplines. Experience handling large datasets and using reproducible analysis
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. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and