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Field
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, aerodynamic noise, machine learning, stochastic algorithms, uncertainties This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme
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of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design The
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As drones and air taxis enter cities, understanding and
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sensing; support in choosing tip geometry, stud magazine, and interfaces to the vacuum chamber). • Co-development of algorithms for optimal welding (trajectory and force planning, adaptive parameters
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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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. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and
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mathematics Mathematics » Computational mathematics Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Mathematical logic Mathematics » Number theory Mathematics » Probability theory
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schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design using simulation-based parametric studies. Couple computational results with experimental
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing