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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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the Leverhulme Trust and the Wellcome Trust. The successful applicants will join the established and growing effort in biological physics within DAMTP. For further details about the group, please consult
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areas: calculus of variations optimal transport theory theoretical aspects of machine learning Restrictions: During the period of employment, the employee cannot receive remuneration under another
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technologies to fundamental physics questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG
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Job Description The Opportunity: The Department of Physical Sciences at the DB Campus invites applications for a Postdoctoral Researcher position in the area of Control Theory and its Applications
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to work on some of the topics related to the GeMOS project, which include: K-dot-p theory based models of spin qubits in lateral gated quantum dots. Investigations of principles of qubit operations, noise
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
sources of gravitational radiation relevant to the LISA space mission. Research effort involves use of black hole perturbation and self-force theory, and post-Newtonian theory, to construct gravitational
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools