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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
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collaborative environment. - Strong scientific communication skills in English. - Ability to interact with project partners. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR4301-LAELEG-068
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Delphine Rouby (Géosciences Environnement Toulouse) and Ritske Huismans (University of Bergen). The candidate will also collaborate with Eric Lasseur (BRGM) and Cécile Robin (Géosciences Rennes). The PostDoc
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engineering, within a dynamic and collaborative research environment. We offer: A stimulating international research environment at ESPCI Paris. Guaranteed funding for the full duration of the PhD
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national and international collaborators. It is allowed one day of home office per week (flexible) Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5819-MARCAR-001/Default.aspx Requirements
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collaborations with the Laboratoire de Physique des Solides and the Detector Physics group at IJCLab. - Analyze the experimental data in light of the existing scientific literature. - Write scientific publications
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research on aspects of string theory, in collaboration with Michela Petrini. The project aims to study aspects of AdS/CFT duality in the context of Exceptional Geometry. One of the goals is to obtain new
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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for