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multidisciplinary team led by Valérie Caps (ICPEES/CNRS Chemistry) and Giovanni Manfredi (IPCMS/CNRS Physics), based at the CNRS Cronenbourg campus. Attached to ICPEES, the PhD student will have access to both
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necessary for its scientific activity, as well as the design, development and use of instruments. . The phD student will work in the NESTAR team of the Nuclear Physics Pôle of the Laboratory which is involved
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, machine learning techniques, etc.) is desirable. This thesis offer within the AstroParticle and Cosmology Laboratory (APC) is part of the Deep Underground Neutrino Experiment (DUNE). DUNE is an
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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Sklodowska-Curie Initial training network (ITN) project entitled UNVEIL. The position will be based in France, at the C2RMF in Paris, and SATIE in Gif-sur-Yvette (near Paris). The PhD Enrollment is Université
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will be
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD will take place in the team "Photonics and Metarials" at LOMA (Bordeaux's