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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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part of the Faculty, the Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We
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discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We are looking for an open, innovative, and productive colleague who enjoys working in
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extended.) Person Specification Essential Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending
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knowledge. Within the Faculty of Science and Engineering (FSE), the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three disciplines, namely Mathematics
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related