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British Heart Foundation (BHF) Professorship awarded to Professor Keith Channon. As the senior scientist you will lead a programme of research investigating the molecular mechanisms of cardiovascular
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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particular focus on helping build machine learning models that can help humans learn faster and more effectively, and/or make better decisions. They will independently manage their academic and associated
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living tissues with synthetic scaffolds to model and repair organs. These efforts converge across three interrelated programmes; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device
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handling of anhydrous hydrogen fluoride and the development of physical organic models to assess their reactivity. High level computational techniques will be used to aid understanding. This exciting
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such as UK Biobank. You will design and optimise scalable computational pipelines and algorithms to construct and evaluate foundation models for whole-body and abdominal MRI. Alongside this, you will
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Deployable Machine Learning Key words: out-of-distribution generalization, machine learning, active learning, human-in-the-loop learning, distribution shift, probabilistic modelling, computational rationality
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predicative models of disease. Our integrated research programme has flexibility for the candidate to contribute to multiple ongoing initiatives whist driving their own research projects applying bioinformatics
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combs and their applications in neuromorphic computing and high-speed optical fibre communications. You will also be involved in the design, development and numerical modelling of novel signal processing
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operational efficiency. Led by Professor Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs