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The William S. Dietrich II Economic Theory Center of the Department of Economics will have an opening for a Postdoctoral or more senior researcher in September 2026. Primary criteria are the quality
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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About the role Applications are invited for a Postdoctoral Research Associate in the Physical and Theoretical Chemistry Laboratory to work under the supervision of Professor Adam Kirrander for a
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
. The successful candidate will work directly with the project’s principal investigator, Assoc. Prof. Robin Kaarsgaard , an internationally recognised expert in the areas of quantum programming languages
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particle systems, and mixing times of Markov chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in
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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate will contribute to cutting-edge theoretical research in classical and quantum gravity, supergravity, and string theory, while actively
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chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the role You will
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Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Physics / Quantum Information , Quantum Information Science , quantum information theory , quantum information
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record in probability theory, analysis, or related areas. Ability to work independently and collaboratively in an international team. Place of work Place of employment is Aarhus University, and place of
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular