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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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. Creativity Cross-functional skills. Ability to learn new technologies/languages. Bibliographic monitoring Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5239-CHRCHA-003/Default.aspx
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in the area of scientific computing and Computational Fluid Dynamics. Prior Experience in turbulence modelling, machine learning or the Lattice Boltzmann method is an advantage. Operational skills
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers
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Skills/Qualifications Strong background in Operating Systems and Linux development Knowledge of memory management mechanisms and system-level programming Experience with Machine Learning models (design
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research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong communication skills in English and good knowledge of French
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at conferences and congresses Research will be carried out in either French or English, although non-French-speaking candidates are expected to make every effort to learn basic French to facilitate communication
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(ROOT), • Physics: Experience in particle spectroscopy, heavy-ion reactions, fission dynamics Soft skills : • Teaching skills and the ability to instruct less senior scientists (Ph.D. and
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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environment and a wide range of skills and knowledge to acquire on parasite biology. The University of Montpellier was founded in 1220 and is one of the oldest universities in the world. With over 50,000