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are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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This post is based within the Research Degrees and Researcher Development Team (RDRD) within the Directorate of Research and Business Engagement (RBE), which supports the ongoing development of strategy and
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. The CRE aims to: Deliver world-leading cardiovascular research from molecules to populations. Address health inequalities in cardiovascular outcomes. Train the next generation of interdisciplinary
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, budgeting, forecasting and reporting processes for your area of responsibility. This will include analysis of performance and highlighting remedial action where required. You will develop and continuously
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genes to cause and exacerbate chronic inflammatory diseases. The purpose of the fellowship is to enable an experienced postdoctoral researcher to develop an independent research programme and generate
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adopters to evaluate how these coatings affect satellite system design, cost, and mission performance. The role will involve developing system-level models to quantify platform- and mission-level benefits
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at the University of Manchester. The successful candidate will work at the interface of physics, chemistry, materials science, and AI, developing workflows for autonomous discovery. You may focus on experimental
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Centre (CERFIG) to create new sampling protocols to monitor environmental pollution and human exposure, and to develop a consortium of project partners for future funding bids. PAMS provides a unique