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Field
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key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel
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provide guidance to MSc and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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fundamental research into real‑world impact. You will design, model and fabricate advanced thermal management solutions that suppress conductive and convective losses in radiative cooling devices, then scale
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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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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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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are working to set up a new,human challenge model ofStaphylococcus aureus skin infection. This model will be used to study the early interactions between the human immune system and invading bacteria. From
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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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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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theoretical framework that will drive strategic improvements across CSCs. This research seeks to systematically explore the shared foundations of existing models related to risk, resilience, and sustainability