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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
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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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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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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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Técnico (IST) Duration: 3 months Maximum Duration Including Renewals: 4 months Objectives The main objective of this scholarship is to support the development and application of an optimization model
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activities regarding numerical modeling of tsunamis, both inundation, with a view to updating the national hazard model, and offshore propagation, with a view to using the new pressure sensors installed in
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About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
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comprehensive, practically applicable Resilience Measurement Model, considering data sources, data-gathering methods and required levels of aggregation. Contribute to the development and empirical validation
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researcher to contribute to the advancement of patient-specific computational modelling of skin growth for applications in breast reconstruction. The successful candidate will lead the development of high