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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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science or a related field near completion* Previous experience in analysing neuroimaging (structural magnetic resonance imaging or low field neuroimaging) data across age-groups Advanced (statistical) data
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science or a related field near completion * Previous experience in analysing neuroimaging (structural magnetic resonance imaging or low field neuroimaging) data across age-groups Advanced (statistical
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design, power calculations, and statistical methods, with scientific rigour in planning and interpreting experiments. Skilled in scientific writing, data presentation, and teamwork; maintains accurate