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strengthen your application: Experience in deep machine learning, finite element modelling, biomechanics, and anatomy What you will do Take courses at an advanced level within the Graduate school of
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for the statistical analysis of research and experimental data (e.g., Statgraphics, Statistica, R). 6. Knowledge of FEM (Finite Element Method) techniques and tools (e.g., Ansys or similar). 7
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functional element involved in plant resilience after wildfires. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7312-ELOMET-003/Default.aspx Requirements Research Field Chemistry
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involves developing finite element-based welding simulations for large-scale structures and modelling welding-induced distortions and residual stresses. You will develop and validate thermomechanical
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Mathjobs.org | 26 days ago
programming, game theory, operations research, machine learning, or a related field is preferred. Candidates must be ready to contribute to the development of new or existing courses. A Ph.D. in
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programming, game theory, operations research, machine learning, or a related field is preferred. Candidates must be ready to contribute to the development of new or existing courses. A Ph.D. in
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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 17 days ago
future. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned
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structural testing, nonlinear finite element modelling, manufacturing-aware optimisation and AI-informed modelling. The project aims to develop lighter, more efficient structural profiles, targeting
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 13 hours ago
societal problems. Interdisciplinary research clusters that cross Division and School boundaries are a vital element of our Scholarly community. The School of Data and Information Sciences is focused on