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Field
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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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, and, in particular, in K - theory. We are interested in the application of algebraic topology and adjacent fields of mathematics to theoretical physics. The successful candidate will join the
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interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI, computer science, population biology or a similarly quantitative discipline
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to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge
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a small amount of teaching to the department, of at most three hours a week during the academic terms. You will hold a relevant PhD or be near completion, in physics, mathematics, computer science
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working in geometric analysis, mathematical physics, partial differential equations and probability, with whom the candidates will be able to interact. Complete applications should include a detailed
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, Epigenetics , Evolution , Evolutionary Biology , Immunology , Infectious Diseases , marine biolog , Mathematical Modeling , Microbiology , Neurobiology , Neuroscience , Systems biology , virology Physics
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(AI) or closely related topics in computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a
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, statistics, physics, computer science, or related disciplines. Strong background and experience in mathematical and computational modeling of infectious disease dynamics, preferably with applications
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational