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world-leading or internationally excellent. Doctoral researchers benefit from access to advanced laboratories, high-performance computing, and a well-established research training environment within a
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research profile and were jointly recognised as the best modern university in the country for research, and the highest-ranked modern university in London in REF2021. The Role As the Post-Graduate Programme
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: The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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to the clinic. A three-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 18 hours ago
" button. Accept Cookies Working here Job vacancies How to apply Frequently asked questions More ▼ Research Fellow in Laboratory and Computational Systems Biology Cancer Research Brighton and Sussex Medical
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About the role As a Research Fellow in Laboratory and Computational Systems Biology Cancer Research you will lead the delivery of cutting-edge interdisciplinary research project that combines
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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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About the Role We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and