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, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular, improved understanding of turbulent, reactive, and multiphase flows together with material sciences and
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materials. Experience working with physically based forward and inverse modeling of time-domain AEM data as indicated in application materials. Experience working both independently and collaboratively as
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Appointment Term: One year in the first instance with renewal possible Appointment Start Date: 05/01/2026 Group or Departmental Website: https://med.stanford.edu/genomics-of-diabetes.html (link is external) How
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–94 (2024), with the ultimate aim of identifying top performing materials for specific carbon capture applications. The primary objectives of the research are: 1) to develop process models and cycle
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portfolio on sustainable and regenerative real-estate innovation. 3. Project Development, Prototyping & Visualization Create high-quality visual materials: Concept drawings, maps, 3D models, renderings, and
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 13 days ago
or Master's degree in digital technology, materials, mechanics, or applied mathematics. Students interested in issues related to modeling and digital simulations of physical phenomena in
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matchmaking approach that combines semantic material data, design-for-circularity, and hub logistics to scale high-quality reuse in regional infrastructure ecosystems (primary focus: Twente; validation: Brabant
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that enable material traceability and circularity in plastics. The role focuses on developing and curating Deep-UV spectral databases, designing AI-based classification models, and further advancing
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and theory-guided machine learning algorithms for the prediction of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation
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the lack of predictive process and material models. As a PhD candidate, you will work on the M2i-funded research project "Multiphysics Modelling of Tomographic Volumetric Additive Manufacturing Processes