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in computational social choice and artificial intelligence The recruited individual will join the 2IA PRAIRIE-PSAI institute and develop research at the intersection of computational social choice and
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The research is in the field of artificial intelligence for science (AI for Science). The primary mission is to overcome technical bottlenecks related to the representation of complex scientific data (graphs, 3D
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Recherche sur la Conservation (CRC – UAR 3224 CNRS / MNHN / French Ministry of Culture), within the Colours and Visual Effects research group. The project is part of the field of heritage science and aims
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would be advantageous; Scientific curiosity, a high level of rigor and commitment to research of the highest standards are also important selection criteria; Digital skills (e.g., data visualization
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description context: The rapid expansion of Artificial Intelligence has generated a
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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chemistry, biomass recovery, the circular economy and advanced materials. Combining experimental approaches and artificial intelligence-assisted theoretical chemistry tools, E2P2L stands out for its close
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by