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19 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire des Composites ThermoStructuraux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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well as the microstructure and mechanical behaviour of the resulting bio-based composites. The work will involve incorporating straw into thermoplastic matrices and evaluating and modelling the variability of mechanical
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turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is
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magnetospheric physics, focusing on Mercury's ion dynamics. Its primary goal is to enhance our understanding of the role the planetary ions play within this environment by examining their composition, life cycle
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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and modeling work will develop a foundational dataset and suite of ML models to systematically meld biosignature information from different analysis techniques (a "multi-messenger" approach), to enhance
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forest systems.The position offers the opportunity to work across scales and methods, integrating quantitative risk modelling with empirical field data and applied demonstrations to support climate
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Job Description We are seeking an ambitious and dedicated researcher for a 2-year postdoctoral position in the field of microbial metabolism and experimental animal models for cardiometabolic
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, recording and evaluating methods and compositions of vaccine-based microneedle solid dosage forms, using systematic approaches to understand key interactions within the formulation. Defining and understanding