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collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at
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Team (CDT), and possibly to the Bordeaux University Campus for collaboration with the Exa-SoFT research and software development teams. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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efficiency). - Contributing to scientific validation, writing publications, and disseminating results. - Software development (C++/Python) in a ROS 2 environment and robotics simulators. - Integration
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, contributing to a new lithotectonic map of the Aquitaine basement. The present-day lithosphere temperature structure will be modeled using petro-physical modeling (LitMod2D 2.0 software) along a ~1000 km
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5001-ELSGEN-046/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental
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and production of software tools for in silico screening of chemical libraries and rational drug design of molecules for therapeutic purposes. - Contribute to the development of a high-throughput
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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of data, services, interaction devices, and use cases influence the evolution of software and systems to guarantee the essential properties such as reliability, performance, autonomy, and adaptability
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of validity ; -Development of public software tools for the purpose of EFT fits, including extended likelihood information from the experiments; development of a suitable format for fast “simplified