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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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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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useful insights towards efficient numerical approximation of broader classes of differential equations. The successful candidate will be part of the Geometry and Mathematical Physics group at Loughborough
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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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Master’s degree (preferably with a merit or distinction) in a social, biological or mathematical subject, or computer science. UKRI Minimum Stipend Research Training & Support Grant Institutional & CDT
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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; solid mathematical background and programming skills; preferably, prior experience with publications in computer vision, machine learning and deep learning. The English language requirements must also be
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1st class would be highly desirable. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine
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undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others related to the PhD topic). If English is not your first language, you must have