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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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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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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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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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Location: London, London W1S 4BS, United Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: Pure Mathematics Statistical Physics Mathematics Quantum Field Theory Theoretical Physics (more
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the third and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from
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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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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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-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