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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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of these cycles on energy, water, and carbon exchanges at the interface with the atmosphere. The tasks of the position will be (1) to process NDVI time series provided by UCL as part of the ESA CCI Medium
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well as new minerals to build a detailed picture of the evolution of the Earth's atmosphere from Archean to present. The post-doctoral researcher will also have access to the noble gas analytical platform
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Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
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at the Plant Reproduction and Development Laboratory (RPD, CNRS UMR 5667, Lyon), see https://www.ens-lyon.fr/RDP/signalisation-cellulaire-et-endomembranes/ Our added bonuses: • A stimulating work environment in
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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equations, while the phase-field variable itself can also follow an hyperbolic evolution law that captures inertia or rate-dependent effects in the damage process. Explicit schemes are attractive for dynamic
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 25 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages
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multi-layer systems using a strip casting process. The project is divided into 2 tasks, as follows: 1) Development of an optimum casting formulation based on the starting powder supplied. Optimization
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position