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multi-physic modelling approach coupling mechanical and electrochemical simulations, it is proposed to bring a novel unified numerical framework in this thesis (i) to simulate the damage in
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists
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biophysical network models of The Virtual Brain (TVB) type, we aim to mechanistically explain patient heterogeneity and identify prognostic biomarkers. This is a high-impact, interdisciplinary project bridging
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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currents on plankton diversification. (S)he will study the connectivity of water masses using a lagrangian approach and design a population genetic model on the connectivity network. - Lagragian
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inclusion are lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We offer an annual gross
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specific to 3D models, based on 150 3D-modelled taluses belonging to five morphologically similar taxa: sheep, goats, alpine ibex, European roe deer and gazelles. These criteria will form the future
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not only with the various working time models but also through the offers for the compatibility of family and career. Website for additional job details https://jobs.uni-graz.at/en/jobs/9a92a4a8-22b2
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to