51 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " research jobs at KINGS COLLEGE LONDON
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About us: The IoPPN is a Faculty of King's College London and the largest academic community in Europe devoted to the study and prevention of mental illness and brain disease. http://www.kcl.ac.uk
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) Country United Kingdom Application Deadline 15 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
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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About us Our contemporary Chemistry Department, based in the Faculty of Natural, Mathematical and Engineering Sciences, provides an exciting place to explore the boundaries of the subject. The
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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About Us The School of Biomedical Engineering & Imaging Sciences seeks to appoint an enthusiastic and proactive clinical research fellow to undertake research and imaging activities to spearhead
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering