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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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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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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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-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
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the collaboration. You will work closely with Principal Investigators and industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records
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About the role This is an exciting opportunity to work at the forefront of a new area of research exploring the interaction between avian vision and collisions with anthropogenic objects
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. Developing an analytical framework to achieve the grant objectives, the postholder will also write and publish scientific papers on the relationship abiotic environmental variables and extinction selectivity