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the project partners: the LCOMS and PERSEUS laboratories and the hospitals of Strasbourg. This thesis is part of the ANR THERAPEUTIC project, which aims to develop a hybrid digital environment for
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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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. 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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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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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 5 days ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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to develop a novel non-invasive and low-cost ultrasound-based monitoring approach to assess the state of health and remaining useful life (RUL) of power converters deployed across various industries
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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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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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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