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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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Eligibility criteria · Required skills O Expertise in cosmology or numerical magnetohydrodynamic studies o Expertise in MCMC software, Boltzmann codes and MHD code preferred o Fluency in English
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible
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physics. Analytical and numerical calculations/ Laboratoire Jean Perrin theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-005/Candidater.aspx Requirements Research
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
learning or statistics, with a focus on multi-armed bandits or recommender systems. Proficiency in English. Strong coding abilities, coupled with analytical and statistical expertise. Proven background in
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communication (writing of scientific publications, conference attendance) The Gulliver lab is a mixed experimental and theory lab working at the interface of physics, chemistry, biology and computer
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is equivalent to a research fellow position within the HTL team. The History of Linguistic Theories Laboratory is a place for developing and disseminating research on the history of concepts
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for the subject Read scientific literature on the stability analysis of partial differential equations Expertise in control theory and partial differential equation analysis Demonstrate curiosity and scientific
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Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected