126 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of London
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Television School, Pinewood, and the University of Surrey. This vital role works across the University’s Research and Innovation team and the StoryFutures Business unit to drive an ambitious R&D programme to
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. The main responsibilities of the post are to support the Employer Engagement and Communications Manager in developing the annual Employer Engagement programme, forging strategically important relationships
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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care and preventive medicine. The post-holder will work in the Centre for Evaluation and Methods (CEM), a thriving centre that incorporates collaborative units who work to deliver outstanding research
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in managing the processes post-merger of 3 academic schools. The post holder will use project management methods to track and manage all processes of integration and formation of the new academic
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. You will update webpages, input and check numerical data and contribute to professional documents, so will have a good level of literacy and numeracy, and will be a proficient user of key Microsoft 365
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, administratively support in-person examinations and prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or