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believe that generative pre-training offers a promising path to a new class of models that work across settings and can support prediction of many different clinical outcomes at once. To fuel your models
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can support prediction of many different clinical outcomes at once. To fuel your models, you will have access to one of the largest multicentre ICU resources to date (~1M patients, ~33B clinical events
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effectiveness and safety. This PhD project aims to address this challenge through biomimetic engineering design, combining predictive in silico modelling with machine-learning techniques and microfluidic
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5 Dec 2025 Job Information Organisation/Company Université catholique de Louvain (UCL) Department IRMP - Institut de recherche en Mathématique et Physique Research Field Physics » Other Researcher
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Partnership between UCL and AstraZeneca and to work as part of a cross-disciplinary team across both sites (London and Cambridge). This post is focused on the use of machine learning models of protein
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part of this mission, UCL is launching a five-year, Medical Research Council-funded Deep Network Modelling in Neuro-oncology programme. This pioneering project aims to build a robust framework that
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application of mechanistic and hybrid digital twin models for chromatography and tangential flow filtration (TFF) operations, including prediction of binding capacity, multicomponent adsorption, and fouling
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, diversity and inclusion is essential. What we offer As well as the exciting opportunities this role presents, we also offer some great benefits, visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits
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clinical prediction models can improve generalisability and transportability and ensure fairness. Specific exemplars of interest include optimising cancer treatment – including how to optimise radiotherapy
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, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA. 2011;305(15):1553-1559. Runx1 and Heart Failure Supervisors: Dr C Loughrey , Dr S Nicklin , Ewan Cameron