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European project (IsoPROPEL) in close collaboration with Forschungszentrum Jülich (Germany) for cell design and catalytic testing and ITQ Valencia (Spain) for the synthesis of catalysts. The overall goal
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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. This project is carried out in collaboration with the Metals and Microorganisms: Biology, Chemistry and Applications team of the Biotechnologies and Cell Signaling Laboratory (BSC, UMR 7242), which develops new
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on sustainability, transnationalism, and sensoriality. The program offers tailored intersectoral training in collaboration with two associated partners (European Institute for the History and Culture of Food in Tours
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-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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well as colleagues from IRCP team (CQSD-MPOE) such as Philippe Goldner. An added value of this PhD lies in the established collaborations with LSPM and LuMIn, enabling the student to gain hands-on experience in plasma
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 4 days ago
access to GRAME-CNCM (computer music center based in Lyon) facilities, fostering potential collaborations with artists, etc. References [1] Gregorio Giudici, Franco Caspe, Leonardo Gabrielli, Stefano
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). Despite its innovative nature, the project is grounded in complementary expertise and strong collaboration between the partners, ensuring feasibility and successful integration of hydrogels with organ
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used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise