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Field
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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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the synthesis of phenalenone-based photosensitisers and their coupling to targeting units developed within the consortium. He/she will perform physico-chemical characterization of the photosensitisers, contribute
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to develop new cyclic (alkyl)(amino)carbene (CAAC)-based ligands and investigate their coordination chemistry with earth-abundant metals to enable efficient and sustainable hydrogenation catalysis. Catalytic
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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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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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education and psychosocial skills. Emotional skills, particularly the regulation of stress and emotions, play a key role in food choices. Developing these skills fosters awareness, enabling a better
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 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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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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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