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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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and decision support systems (DSS) to improve integrated water resources management. The project is dedicated to making significant progress in addressing water scarcity in Mediterranean regions by
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design of power chains integrating new technologies of conversion, production and storage. In addition to the technological aspect, the IREENA research deals with methodological aspects related
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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on the analysis and comparison of the different methodological approaches used in France and Italy, in order to formalize the definition of “best practices”; Jointly integrating project results into the respective
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biology and is resolutely interdisciplinary, integrating approaches in (bio)informatics, (bio)physics, and (bio)mathematics. The “genome mechanics” team is interested in the process of DNA break repair by
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University. The contract staff recruited will be integrated into the ModES 'Modelling and Spectroscopy' team and will work directly with Dr Morgane VACHER. Where to apply Website https://emploi.cnrs.fr
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the characterization and fabrication of spintronic devices. In this role, you will investigate how various spacer layers can maintain the integrity of the TI and the ferromagnetic storage layer during annealing