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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop a wound-healing hydrogel whose composition and design are
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modelling is desirable. Candidates should speak and write English proficiently. The lab is hosted at the Institute of Cognitive Science Marc Jeannerod in Lyon, France, a thriving university city. The
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 12 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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the formation of micrite and its evolution during early diagenesis. Identify the origin and transformation of sedimentary organic matter by analyzing sediment cores using geochemical and isotopic methods
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the European Research Council (ERC) Starting Grant, aims to understand the molecular evolution and adaptability of Deltaviruses to new hosts. The host laboratory benefits from a network of local, national, and
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post-doc Category (A,B or C) : A Contract/project period : 6 months at the University of Strasbourg Expected date of employment : 20/10/2025 to 31/03/2026 with possibility to extend Proportion of work
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dual source and in a compact way; 3) the research challenge: a more efficient process for simultaneously producing X-rays and neutrons by intense laser; 4) Methodology: Developing a comprehensive suite
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to monitor the evolution of the planet at various scales and develop models to tackle societal challenges on biodiversity, climate change, food security, water resources, etc. The laboratory also contributes
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symmetry and excitation processes on vibrational spectra, as well as participate in the development of methods integrating new laser technology. The candidate will work within the framework of the ANR
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics