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A position exists for a Post-Graduate Research Assistant (PGRA) or Post-Doctoral Research Associate (PDRA) in the Department of Applied Mathematics and Theoretical Physics to work on verified
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, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory
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, the mathematics of systems of nonlinear inhomogeneous partial differential equations, and shock-capturing, Riemann problem based numerical algorithms for their solution. You must also be proficient in C++ and the
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to the space sector, and the PhD candidate will be a key part of this process. Requirements for the candidate: MSc degree in Physics, Engineering, Mathematics, Computer science or related fields. Solid
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University seek motivated postdoctoral fellows with a Ph.D. in electrical engineering, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine
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should have five GCSEs or equivalent at grades A-C, including Mathematics, Science and English, or expect to gain this level of qualification this Summer. We are looking for an individual who has a real
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of cancers from a blood sample. This is part of a large programme of research funded by the Alliance for Cancer Early Detection (ACED). We are an interdisciplinary group focused on applying mathematical
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for this position must have a bachelor’s degree in economics, statistics, mathematics, computer science, physics, or another quantitative field. Experience with deep learning or econometrics is not required, but
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, mathematics, biology or related neuroscience field. Obtained a master degree in a relevant neuroscience, engineering, physics, biology or related field. Quantitative background, with research experience in
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, mathematics, biology or related neuroscience field. Obtained a master degree in a relevant neuroscience, engineering, physics, biology or related field. Quantitative background, with research experience in