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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut des Sciences Cognitives Marc Jeannerod Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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19 Sep 2026 Job Information Organisation/Company CNRS Department Cognition, Langues, Langage, Ergonomie Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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the industrial production, as the latter requires knowledge of high-temperature thermophysical properties of materials as well as an understanding of physico-chemical processes at the free surface, etc. However
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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remains open for the later stages of the PhD. During this PhD, the student will acquire highly valued skills in climate modeling, climate simulation analysis, and will contribute to expand the knowledge
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(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim