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. Possible BSM effects will be interpreted within the framework of Effective Field Theory (EFT). In this approach, the low-energy effects of heavy particles that cannot be produced directly at the LHC
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computational inference (SuperStoc group, ERC), with strong ties to experimental collaborations within the Turing Centre for Living Systems (Centuri, Aix-Marseille Université). The thesis will combine theory
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Position Description The Quantum Information/Condensed Matter Theory group of the Physics Department at École Normale Supérieure (LPENS) invites applications for a fully funded PhD position in
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
and D. J. C. Mackay, “Low density parity check codes over GF(q)”, Information Theory Workshop, 1998, pp. 70-71. [11] D. Declercq and M. Fossorier, “Decoding algorithms for nonbinary LDPC codes over GF(q
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
background in state-space modeling and control theory. Strong programming skills in C++, Python and/or MATLAB. Interest in both theoretical research and experimental validation. Good written and spoken English
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two main objectives: (i) establishing a theory–experiment feedback loop to identify the fundamental mechanisms governing multicellular self-organization, and (ii) developing a novel imaging platform
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific
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techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and
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the following areas: — Strong mathematical skills, particularly in convex and non-convex optimization, matrix theory, and probability. — Strong background in signal processing, such as detection and