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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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of Engineering, Mathematics and Physics to work with Dr. Chris Birkbeck on a project to link the L-functions and modular forms database (LMFDB) with Lean's Mathlib. This ambitious project will contribute
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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Science or related mathematical discipline together with a strong publication record and familiarity with the existing literature in the area of algorithms, or complexity, or combinatorics. Knowledge of mathematics
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ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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The role Applications are invited for a Research Associate in the School of Engineering Mathematics and Technology (SEMT) at the University of Bristol. The project is funded by an EPSRC New
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computational tools. The specific aspect of the project to be worked on will depend on the strengths of the candidate. Good projects in this area could include: Mathematical or numerical analysis
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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be considered. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and model fitting is desirable but not essential. Familiarity