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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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activity concerns the development, implementation, and analysis of continuous stochastic mesoscale models for the description of phase change processes, such as evaporation, condensation, and nucleation. In
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Qualifications and Interview evaluation - in order to get more information and to apply, please download the announcement, the application form and attached files at link https://web.uniroma1.it/trasparenza
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is full-time and on-campus. Job Duties 80% – Research Lead development of computational models of judgment and decision making, including evidence accumulation models, social drift-diffusion models
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approaches and continuum mechanics models in order to simulate powder flows in industrial mixers or stirred devices. The instrumented pilot in which the initial observations were made will be used as a
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Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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projects, from engineering studies to the development of entire SW systems, with many years of experience working on programmes with space agencies such as ESA, NASA, CNES, DLR, etc. (https
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 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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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to