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history of innovation in what we teach our students – and what they teach us. We have a strong interdisciplinary tradition, reflected in investments such as UKRI Centres for Doctoral Training innovating
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the next generation of engineers and scientists. We have a long history of innovation in what we teach our students – and what they teach us. We have a strong interdisciplinary tradition, reflected in
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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testing) Design mechanical parts (using SolidWorks or similar), produce via 3D printing or machining Build calibration rigs and other supporting lab setups as needed Test the devices in the lab. Deploy
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in machine learning and prediction/decision modelling, as applied to clinical, cognitive and/or physiological data, as well as with prior experience in participant recruitment and/or experimental
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mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead node), Imperial College London, Queen Mary University of London, Durham University, and the University
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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, moderation and personal academic tutoring. We invite applications from individuals with a background in machine learning and prediction/decision modelling, as applied to clinical, cognitive and/or
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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods