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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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funding scheme, supporting new collaborative opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose
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relation to subject area To contribute to the induction and direction of other research staff and students as requested Contribute to developing new models, techniques and methods Undertake management
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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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Piette and Dr Guy Davies. We particularly welcome applicants with expertise related to atmospheric modelling, eclipse mapping and/or interpreting exoplanet atmosphere observations. The appointment will be