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for joint events. What we expect A solid background in at least one of the areas essential for the CRC, e.g., higher category theory, algebraic/arithmetic geometry, homotopy theory, geometric topology
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techniques, with a specific focus on symbolic model checking methods using satisfiability and satisfiability modulo theories solvers as symbolic reasoning engines. Importantly, in addition to researching novel
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researchers and doctoral students across 13 research groups. Research at LOE spans materials synthesis and chemistry, theory and modelling, fundamental materials physics, and device development, with
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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Institute of Physics that focuses on complex fluids and soft mesoscopic materials, both experimentally and computationally. There are strong links with soft condensed‑matter theory and computational chemistry
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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information. You must have a relevant Master's degree in information systems, or in management, organization theory, sociology, or science and technology studies with particular emphasis on digitalization. You
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and biology. Within our multidisciplinary team of distinguished researchers from physics and biology, experiment and theory, you will be enabled to focus on, for example: • Pioneering novel concepts
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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on this project, you will: develop mathematical theory for non-linear inverse problems governed by wave equations; design and analyse numerical algorithms for inverse problems, uncertainty