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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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. Cyclic (Alkyl)(Amino)Carbenes (CAACs): Recent Developments. Angew Chem Int Ed 2017, 56 (34), 10046 Sobczak, Q.; Kunche, A.; Magis, D.; Carrizo, D. S.; Miqueu, K.; Sotiropoulos, J.-M.; Cloutet, E.; Brochon
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
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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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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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electronic structure methods for the above-described properties. In more details, this will require the development of an automated approach that allows identifying the excited-states across several levels
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borders and by transferring complementary knowledge and technology, LipidBRIGHT aims to speed up innovations towards improved disease prevention, diagnosis, prognosis and therapy. LipidBRIGHT will train