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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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-on-modelling-of-tu… Requirements Specific Requirements We seek candidates who are motivated by the proposed research, take initiative to develop ideas, are self-driven, and can work both independently and within
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-driven algorithms Ability to conduct research independently while working effectively within a multidisciplinary academic–industrial team Strong written and spoken English, other language skill is a plus
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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functions. European Journal of Soil Science, 54, 655–670. https://doi.org/10.1046/j.1365-2389.2003.00556.x ; 6. Van de Broek, M., Govers, G., Schrumpf, M., și Six, J., 2025. A microbially-driven and
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Mavrantzas (a collaborator in the lab), to capture entropy-driven network-scale effects and refine rubber elasticity models for dynamic networks. Complementary studies of non-linear flow behavior using shear
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 5 hours ago
Posting Details Posting Details Benefits of Working at UNCW At the University of North Carolina Wilmington, we are driven by a clear purpose: to empower student success, advance innovation, and
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Computer-Aided Design (CAD) software, creates robust, detailed 3D models and drawings that represent solutions to complicated manufacturing, assembly, and customer requirement driven equipment