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'Catalysis for Energy Transition' (CATREN) and is led by Dorothée Laurenti and Laurent Piccolo. This thesis project focuses on the development of catalysts for the hydrogenation of CO/CO₂ into methanol, and
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due to their high persistence. Understanding the temporal evolution of PFAS concentrations and characteristics in ambient air is therefore essential to support the development of appropriate regulatory
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massive collaborative effort among four research laboratories (CETHIL, Lafset, LMFA and LUSAC) to fully develop a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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will ideally be developed as extensions of the ANEMOI library of the European Centre for Medium-Term Weather Forecasting. The person recruited will develop new regional weather forecasting methodologies
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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
investigations on solids, their phase transitions and chemical reactions. You will develop gas-flow cells for the study of solid-gas reactions with in situ neutron diffraction and implement these on D1B and D20
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the developed analysis tools. You will join the Large Scale Structures (LSS) group at the ILL, Grenoble, France and work mainly with the two NR machines D17 and FIGARO for the implementation of the ML
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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responsible for the evolution of this network, one needs to take into account other parameters related to the nodes: pages can for example be characterized by their size, quality & popularity; contributors by