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26 Jan 2026 Job Information Organisation/Company CNRS Department Modèles et simulations pour l'Architecture et le Patrimoine Research Field Geography Architecture Sociology Researcher Profile First
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development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural
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of control mechanisms and evaluation methods that hold regardless of which underlying TTS technology is used. This is a core requirement in a field where generative AI models evolve rapidly. We
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, the selected candidate may engage with the full scope of the project or focus on specific topics such as spectral analysis (including SED fitting and metallicity determination), the modeling of pulsation and
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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Description Fermi National Accelerator Laboratory (known as Fermilab) seeks highly qualified candidates for a Postdoctoral Research Associate position in the Physics Simulation Department of the Computational
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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expertise in using numerical models to simulate aerosol-cloud interactions. Experience of Large Eddy Modelling will be an advantage but is not a requirement. You will have: Experience of numerical models
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using