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Field
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Degree or equivalent Skills/Qualifications Essential Strong background in applied mathematics, mathematical biology, or computational modelling. Experience with partial differential equations (PDEs) and
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Description: Accurate battery State of Health (SOH) estimation is vital for electric vehicle safety and longevity. Current models often fail to balance accuracy with computational efficiency. Collaborating with
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
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models of the neonatal brain. The successful candidate will work on the intersection of neuroscience and new computational methods, combining mathematical and biophysical models with state-of-the-art
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Mechanical Engineering, Materials Science Engineering, Applied Mathematics or Computational Mechanics. Solid background in continuum mechanics and advanced plasticity modeling Strong interest in micromechanics
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
:2011.10975. Prépublication, arXiv, novembre 22. http://arxiv.org/abs/2011.10975 . Hlad, Nicolas, et Benoit Verhaeghe. 2025. Migrating Katalon Studio Tests to Playwright with Model Driven Engineering. https
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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Mechanical Engineering, Materials Science Engineering, Applied Mathematics or Computational Mechanics. Solid background in continuum mechanics and advanced plasticity modeling Strong interest in micromechanics
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
across diverse biological systems. More broadly, this work is part of the DynaNova program and the DELTA team, which aim to establish a new paradigm for dynamics-aware modeling of macromolecular systems
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven