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the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer Science, Mathematical Physics. 2. The Lumley Fellowship, endowed through
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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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 Science
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Our leading rail research group is recruiting for a Research Fellow to investigate the performance of railway infrastructure, particularly overhead line equipment structures and installations. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote...
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Research Fellow role at the Heat Pipe Research Group of Brunel, University of London. The Applicant will need to display strong knowledge in the development of mathematical models and simulation
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skills and experience of collecting and analysing qualitative and survey data, ideally using Qualitative Comparative Analysis, in the context of theory-based, mixed methods impact evaluation of complex
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-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international prison HEALTH research group, along with its location
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relevant theoretical and critical perspectives (e.g. actor-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international
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collaboration with the world-leading Briscoe lab at the Francis Crick Institute. It is using mathematical and machine-learning methods to study the early development of the neural system and developing those
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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including