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Field
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of spintronics. Complemented with density functional theory (DFT) calculations to build scientific and technical competence as well as strengthen transferrable skills, this position provides you with the skills
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job duties A postdoctoral associate is sought for a position in Professor Richard James’ research group to develop predictive
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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setting. The subprojects are concerned with correlator constructions, faithfulness questions for mapping class group representations, comparison with constructions coming from the theory of vertex operator
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Nanomaterial Group in the Physics Department at ETH Zurich is looking for Two Postdoctoral Researchers for 3-year projects on quantum networks and quantum sensing. Job description Photonic integrated circuits
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-time physics: String theory and Quantum field theory, Astrophysical relativity; Mathematics: Differential geometry, Mathematical physics, Dynamical systems, Data assimilation, Monsoon dynamics, Analysis
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Description How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help
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Offer Description Eindhoven University of Technology invites applications for a postdoctoral research position within the recently NRO-funded project AI as a Social Agent to Support Group Learning