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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will contribute to work on control theory
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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operation of scientific instruments. Our team Strong Interacting Matter in the theory division of IJCLab focuses on nuclear theory and its applications to others fields of physics. Our team, is
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the field of modular forms theory and its connections with harmonic analysis. - Conduct research at the highest level - Collaborate with other researchers in the laboratory - Participate in the scientific
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Information Eligibility criteria Internationally recognized expertise in the field of asymptotic theory of random maps (including, in particular, a Ph.D. in mathematics or computer science in this field
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Rhodes (I2M, Aix-Marseille University), the research program "Geometric and Probabilistic Aspects of Conformal Field Theory." The post-doctoral researcher will support and coordinate the scientific
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CNRS, LAPTh Position ID: CNRS-LAPTh-PD_ENIGMASS_2026 [#31672] Position Title: Position Type: Postdoctoral Position Location: Annecy, Rhone-Alpes 74940, France [map ] Subject Area: High-Energy Theory
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(CNRS, Université Paris Cité) in Paris, France, invites applications for several fully funded postdoctoral positions (1–3 years) to work on quantum computing theory. - Research within the Algorithms
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, to unravel the mystery of dark matter or to determine what happened to the antimatter present in our universe at the time of the Big Bang. The location of LAPP, 50 km from CERN, and the presence of the theory