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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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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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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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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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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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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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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
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Centre for Society and Mental Health Younger Generations Programme, at the IoPPN in King's College London. You will work with a friendly, supportive, passionate, and hard-working group to undertake
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are seeking a postdoctoral research associate to lead an innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a