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Field
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days 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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the formation of wrinkles • conducting experiments • analysing results • developing a model to report on the results • publishing one or more articles on the analysis of data collected during the project. It is
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via theory, numerical models, and observations (particularly satellite altimetry). This includes analytic and numerical investigations of submesoscale turbulence and wave-turbulence interactions, and
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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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
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary The Modeling Equitable and Accessible
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-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation
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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