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learning and digital education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and
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requirements: Applicant should have, or expect to achieve, a 2:1 honours (or international equivalent) in mathematics, engineering, or another relevant discipline. A relevant Master’s degree will be desirable
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Applied Mathematics, Biophysics, Bioinformatics, Computational Biology, Biomedical Engineering and appropriate English Language qualification. If you are eligible to apply for the scholarship but do not
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Job id: 090085. Salary: £43,205 - £50,585 per annum, including London Weighting Allowance. Posted: 24 May 2024. Closing date: 09 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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master’s degree in a relevant discipline that include Applied Mathematics, Biophysics, Bioinformatics, Computational Biology, Biomedical Engineering and appropriate English Language qualification. Please
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linkage purposes to better characterise health outcomes and their sub-types. To be considered, you must hold (or close to completion of) a PhD in computer science, mathematics, software engineering or
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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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Associate in statistics to the 3-year Engineering & Physical Sciences Research Council funded project PINCODE: Pooling INference and Combining Distributions Exactly: A Bayesian Approach. The Bayesian fusion