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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 18 days ago
strong links to theory groups at the institute and astrophysical interpretation and modelling work may also be included. PhD in Physics or Electronic Engineering. Knowledge of relevant technologies and/or
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and theory is desired, along with excellent oral and written communication
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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scattering, and condensed matter theory. Position Description We are searching for a Postdoctoral Research Associate for a 2-year term to characterize magnetism in single crystal samples using neutron
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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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