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, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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We are seeking a motivated Research Fellow to join a Human Frontier Science Program (HFSP)-funded project investigating the evolutionary origins and diversification of sensory receptor and ion
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, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development, student supervision
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Applications are invited for a Research Fellow position within the School of Electronics and Computer Science at the University of Southampton. The project will involve the development
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nationally leading research programme funded by the National Institute for Health and Care Research (NIHR). The NIHR Maternity Disparities Consortium is a £50 million national initiative bringing together a
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Advanced Materials group in the department of Electronics and Computer Science, a team applying expertise within the Novel and Compound facilities to develop new materials and advance emerging technologies
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Deadline 8 Oct 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Permanent 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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science for complex heritable conditions, primarily focused on inflammatory bowel disease. The successful candidate will undertake research with the ultimate aim of improving personalised diagnostics
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across the wider EXPRESS consortium to fulfil the scientific goals of the Programme. The position is offered for 24 months in the first instance, with the possibility of extension for a further year. At