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description - The successful candidate will collaborate on research projects related to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long
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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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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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quantum field theory, while collaborating with leading experts worldwide. About us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from
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theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators
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-disciplines, such as political theory, comparative politics, international politics, or public policy and administration (or a combination of different sub-disciplines). The postdoctoral position offers
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cycle) and system transitions (e.g. self-organised criticality, critical transitions, catastrophe theory) Experience in modelling, simulation and analysis of models using various small-scale modelling
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants. The postdoctoral associate will work in
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design