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develop and evaluate computational methods for modelling patient-specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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patents. The appointee will analyse scientific data from a variety of sources to develop the project, reviewing and refining working hypotheses as required. You should hold a PhD/DPhil in medicinal
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, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will also be required to contribute to scientific papers for publication and directly
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information. About You Essential criteria PhD qualified in relevant subject area (neuroscience or related discipline) In depth understanding of metal biology and metal-related disease pathology Proven knowledge
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Award . Role This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https://aria.org.uk
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research and desk-based responsibilities for study design and management, data analysis and dissemination. You will have experience of conducting experimental psychology research with human participants
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The postholder will lead a programme investigating sensorimnemonic decisions: how people decide between using information held in memory vs using the external environment, during extended
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sequencing library preparation is desirable. Previous computational experience is not essential, as training and support in bioinformatic and single-cell data analysis will be provided. The position would