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software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens
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integrative neuroscience, the laboratory is organised around four main teams: - Cognition-Behaviour-Context - Social Behaviour and Collective Dynamics - Physiological and Psychosocial Stress - Social and
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Communications 2021 and 2019) by combining the creation of new original optical instruments with concrete biological applications. In particula this project will be developed witihin the framework of the ERC
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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. Candidate Profile Applicants should hold a Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should have: a
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(ILM), interacting with PhD students, postdocs, and master's students on related topics. We seek a motivated candidate holding a master's in physics, with skills in ultrafast/nonlinear optics or soft
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Language Processing Master's degree, or Computer Science Master's degree with a strong background in NLP. Background in Astronomy or Heliophysics will be a plus. Website for additional job details https
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. This thesis aims to model, optimize, and experimentally validate such an optical ultrasound sensor based on resonant metasurfaces. The work will focus on three main areas: 1. Multi-physics Modeling: Development
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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. Our original approach relies on an optical encoding and sequencing, through the development of fluorescently-encoded synthetic polymers, in combination with a detection technique for a fast decoding of