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architectureYears of Research Experience1 - 4 Additional Information Benefits An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT
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facilities and benefits from first-class technical support. The IPGP provides its students with geosciences training that combine observation, quantitative analysis and modelling, and that reflects the quality
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their partners by using a combination of computational analyses, single molecule imaging and molecular approaches such as Electron Microscopy. The project will be realized in collaboration with research groups
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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key materials—generally nickel-based superalloys—that make up turbine blades with ceramic matrix composites (CMCs). These composites combine lightness, thermomechanical strength and damage tolerance
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An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles
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an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells, immune cells and the vasculature. We perform mostly in vivo studies, combining lineage tracing and depletion
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an emerging and promising class of materials, as the combination of multiple metals within a single nanostructure enables precise tuning and enhancement of their properties. However, mechanical stresses can
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An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles
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, applied mathematics, or image processing, combined with advanced programming proficiency in Python. The ideal candidate will have previous experience in machine learning, particularly in self-supervised