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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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infrastructures. A solid background in beam dynamics in synchrotrons and the corresponding numerical modelling is required. Applicants should have the ability to identify research objectives and subsequently
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or mechatronic design and analysis • Ability to work as part of an extended team in multiple disciplines and locations • Ability to identify research objectives and subsequently conceive, plan and
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also be able to undertake research based on their academic expertise on specific themes and objects in the exhibition and accompanying catalogue. This is an excellent opportunity for an advanced doctoral
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learning phase-picking models, combined with advanced phase association, probabilistic earthquake location, and relative relocation methods, to significantly enhance earthquake detection levels and location
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expression as well as HDX mass spectrometry and is funded by BBSRC. Find out more about the research group here . Applicants must hold a PhD in Chemistry or a relevant subject area (or be close to completion
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, FRS and work within a major industry-funded collaboration. Find out more about the research group here. The Robinson Lab is internationally recognised for advancing top-down native mass spectrometry
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of projects and