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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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be very close to completion, in ML, statistics, meteorology, climate science, physics, or related fields. He/she will have substantial experience with ML, or with weather forecasting models. Essential
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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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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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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
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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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and 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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to the discipline Contribute to developing new models, techniques and methods Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University
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Good Clinical Practice Supervise students and provide mentorship on research-related work Contribute to developing new models, clinical pathways, or care interventions Undertake management and