70 parallel-computing-numerical-methods Postdoctoral research jobs at KINGS COLLEGE LONDON
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techniques and numerical modelling. About the role A successful candidate will join the EPSRC-funded Programme Grant Next Generation Metamaterials: Exploiting Four Dimensions (META4D: www.meta4d.co.uk
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Application Deadline 2 Dec 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 related to staff
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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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 Catalysis
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of Arts & Humanities. We are internationally recognised for our interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join
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About Us This role offers a unique opportunity to work at the forefront of clinical mass spectrometry, developing and applying targeted metabolomics and lipidomics methods in collaboration with
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About Us This role offers a unique opportunity to work at the forefront of clinical mass spectrometry, developing and applying targeted metabolomics and lipidomics methods in collaboration with
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laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. Funds are available for travel during the post if required. About The Role We
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, with a focus on child and adolescent mental health. The successful candidate will primarily lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and