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computers pose to current cryptographic infrastructure, and the growing need for AI systems whose outputs can be verified, audited, and trusted without exposing sensitive data or models. This opportunity is
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in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not
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candidates to establish an innovative and internationally competitive research program in at least one of the following areas: Modeling RNA in Biological Systems: Development of mathematical, multiscale, and
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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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graduate students on research projects involving statistics, data science, mathematical modeling, computation, and artificial intelligence/machine learning. Support research teams through study design, data
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, Mechanical Engineering, Materials Science and Engineering, Electrochemistry, Physics, Applied Mathematics, or a closely related field. Demonstrated experience in computational modeling and simulation
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of University of Wroclaw. Employment in project: NCN SONATA o nr. UMO-2024/55/D/ST2/01205 – project manager dr David Osten. Requirements PhD degree in theoretical or mathematical physics, or mathematics, by
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additional job details https://emploi.univ-grenoble-alpes.fr/competitive-exams/tenure-track-junior-pro… Work Location(s) Number of offers available1Company/InstituteUFR IM2AG (Computer science, mathematics and
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of Mathematics and Scientific ComputingCountryAustriaCityGrazPostal Code8010StreetHalbärthgasse 8 Contact City Graz Website https://www.uni-graz.at Street Halbärthgasse 8 Postal Code 8010 Phone (+43) 316 380
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to join the MeTAH team (Models and Technologies for Human Learning) within LIG, the Grenoble Computer Science Laboratory. They will preferably conduct their research in the didactics of mathematics