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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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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 11 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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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
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Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analytical modeling and experimental test of hyperelastic materials under
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, early-Universe physics, cosmic-ray propagation and dark matter, gamma-ray bursts, and astrophysical probes of neutrinos. Application Materials Required: Further Info: https://lapth.cnrs.fr LAPTh, 9 Chemin
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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strategies & instructional materials for different learning styles incorporating, as pedagogically appropriate, current technology in classroom, and laboratory environments creating and modeling a quality
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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale