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, 1 research engineer, 2 Postdocs and 2 PhD students ; the recruited PhD will also work in connection with all the members of the Marmotte consortium. IEMN is a research institute created by
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plausible deployment pathways. Numerical simulations will first be conducted in isolation, focusing on OAE alone, and will then be extended (in collaboration with other PhD students and postdocs) to combined
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research environment involving several PhD students and postdocs, and strong regional and international connections, with collaborations with the University of Geneva and CERN. Terms of Employment
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, whilst interacting with a wider, interdisciplinary team within the GEOSIC project. Collaborations within the GEOSIC project are foreseen, with a postdoc in international law who will lead the development
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eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
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skills in experimental methodology, usage analysis, and statistical analysis. - Basic knowledge of AI - Ability to work in a multidisciplinary collaborative environment (leading meetings, planning
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to subsequently extract mechanical properties. • Statistical analysis of slip bands around indents and stress drops occurring during nanoindentation tests [5] with respect to lattice orientation, chemical
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analysis, isotopic analysis, statistical analysis - Interpersonal skills: Teamwork, autonomy, organization, prioritization Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7209-ANNHAU
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice