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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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of residence: All Eligibility of fellows: nationality/ies: All Selection process In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it
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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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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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Model for integrating social and assistive robots as welfare technologies and actors in elderly care. This is for addressing challenges posed by the aging population and the shortage of nursing staff
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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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) of the Digital Industry Center of FBK. The Unit carries out basic and applied research, tool development and technology transfer in the field of formal methods and model-based design for complex embedded
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 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