51 postdoc-computational-fluid-dynamics-2017 Postdoctoral research jobs at KINGS COLLEGE LONDON
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United Kingdom Application Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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explanation of key social and institutional factors that produce conditions of plumbing poverty; identify and situate key trends, forces, and dynamics in urban inequality, housing trends, and debt-driven
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public bodies and are seconded to national and international organisations, helping to shape policy and practice nationally and internationally. About the role We are seeking two dynamic researchers
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United Kingdom Application Deadline 12 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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explanation of key social and institutional factors that produce conditions of plumbing poverty; identify and situate key trends, forces, and dynamics in urban inequality, housing trends, and debt-driven
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slavery and war. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform
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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New
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schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz