445 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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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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20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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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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expertise through applying and developing implementation theory and methods in two health service studies: The North of England Wellbeing Diet and ActivitY After Early Breast Cancer (NEWDAY-ABC) hybrid
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a
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Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. Keywords Computational solid mechanics Finite element analysis Solid state batteries Numerical analysis
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Postdoctoral Research Associate in Non-Terrestrial Networks and Edge Computing ( Job Number: 25001481) Department of Engineering Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time
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This post holder will be responsible to develop next generation non-terrestrial networking (NTN) technologies and demos , including satellite, UAV-based edge computing, integrated sensing and
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The role 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