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Field
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Primary Supervisor: Dr. Christopher Birkbeck This PhD project, based at our Norwich campus, offers a unique opportunity to work at the confluence of number theory, representation theory, and formal
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Energy, Physical Resource Theory, Operational Research, or similar areas. Advanced knowledge of written and spoken English is required. You should be able to communicate both within the academic community
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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computational inference (SuperStoc group, ERC), with strong ties to experimental collaborations within the Turing Centre for Living Systems (Centuri, Aix-Marseille Université). The thesis will combine theory
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on international or EU-funded research projects Interest in linking theory and practice in higher education contexts Proficiency in German is desirable but not mandatory Funding & Appointment Terms The successful
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Position Description The Quantum Information/Condensed Matter Theory group of the Physics Department at École Normale Supérieure (LPENS) invites applications for a fully funded PhD position in
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the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic experiments that implement your learning algorithms in unpredictable environments. Who
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developed during this work will deepen our understanding of nonlinear wave phenomena in fluid mechanics and contribute to the broader theory of interfacial flows. Entry Requirements The minimum entry
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, informal/formal training, vocational or professional development) Conduct qualitative empirical research grounded in relevant theory to inform, for example, ethical frameworks (or similar) in policy
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training in first-principles electronic-structure and excited-state methods (density functional theory and the GW and Bethe-Salpeter-Equation approaches), machine learning for atomistic simulation, and high