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mixture of theory and practice. The selected students will be part of the Department of Computing Science at Umeå University, as well as the WASP graduate school. Possible research directions may be
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carries out research, undergraduate and postgraduate education within materials physics and materials chemistry. The division combines theory and modelling, materials synthesis, characterization, and
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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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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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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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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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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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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
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methodologies in response to the archive of theatre criticism; Engage with theories and practices of playwriting and dramaturgy, particularly in relation to solo performance, site-responsive practices