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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental
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of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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27 Sep 2025 Job Information Organisation/Company CNRS Department Groupe de physique des matériaux Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application
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activities: - This research is based on a detailed analysis of atmospheric measurements from a multi-sensor network (remote sensing and surface stations) using statistical analysis and a physical understanding
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for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe the complex electronic and ionic processes in battery materials. New
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conditions, including surface heterogeneity and evolving overlying flow conditions. The simulations will span a range of Reynolds numbers, domain sizes and surface topographies. The project aims to simulate
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recovery after surgery. However, the success of liver regeneration varies considerably across patients and conditions, with the process sometimes impaired or failing to initiate, complicating recovery
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on qualifications Working Conditions May work in all weather conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Occasional weekend, overtime, and evening work to meet
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25 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'énergétique moléculaire et macroscopique, combustion Research Field Engineering Chemistry Physics Researcher Profile