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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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researchers from fields of clinical sciences, biomechanics, psychology, biomedical engineering and mathematics. The post-holder will be required to play a central role in liaising with these disciplines
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Science, Physics, Mathematics, or related disciplines. You will have in-depth knowledge of computational analysis and management of biological data, and the ability to understand features of biological problems
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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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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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. This RCT will evaluate the effectiveness of the programme in improving young children’s mathematics outcomes, with a particular focus on economically disadvantaged children. A keen interest in developmental
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Based in the Faculty of Science and Engineering, the School of Engineering, Computing and Mathematics is an innovative, creative and inspiring place to study and covers the subject areas of civil
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and Systems Biology, and in collaboration with Professor Hiroshi Kudoh at Kyoto University. The ideal candidate: You will have a PhD in Computer Science, Physics, Mathematics, Biology, or a related
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MaThRad will pursue an interactive exploration of foundational, translational, and application-driven research, developing predictive mathematical models with quantifiable accuracy and software