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Job Description The Centre for Quantum Mathematics (QM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU) invites applications for a number of 2-3 year
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Research Fellows who have: a Ph.D. in mathematics with a research background in an area of computational pure mathematics (such as algebra, arithmetic geometry, number theory, group theory, representation
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research background in an area of computational pure mathematics (such as algebra, arithmetic geometry, number theory, group theory, representation theory, commutative algebra, or algebraic geometry
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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of quantum experiments and quantum algorithms for computational geometry problems. Prior expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in
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Responsibilities: The successful applicant will be responsible for: Obtaining theoretical results at the interface of geometry and biophysics Designing, implementing, and testing algorithms to model active matter