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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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of the process involved in transitioning from basic to pre-clinical research. • Research training periods in another consortium member's lab lasting from a few weeks up to three months, performed in a
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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with a 5-year survival <10%. PDAC is notoriously difficult to treat due to its resistance to many therapies, and its characteristic dense stromal microenvironment. Therefore, there is an urgent need
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exascale applications. These patterns will be addressed iteratively through an agile co-design and co-development process with the application community. Exa-DI is seeking highly motivated researchers with a
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must