604 postdoc-computational-fluid-dynamics-"Prof" Fellowship positions in United Kingdom
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Location: Leeds - Main Campus Contract type: Fixed term (until 30th June 2028 to complete a specific task or time limited work) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working...
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) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
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2026. The Nevile Fellowship Endowed through the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer
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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful
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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new