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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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We are looking for a researcher, whose expertise lies in Number Theory and Modular Forms, to work with Dr. Fredrik Stromberg, on an EPSRC-funded project entitled “Explicit Methods for non
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Candidate We seek an ambitious researcher with a strong foundation in Bayesian theory, machine learning, and mathematical modelling. You should be confident in software development and capable of passing a
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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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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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-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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This new post is available from 1 August 2025 on a fixed-term basis until 23 June 2026. The post We seek to recruit a new full-time Postdoctoral Research Associate or Fellow to use mathematical
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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
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and