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Field
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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join the AITAX project? 🌍 Make a Difference: Work on a game-changing project automating tax processes using AI, positively impacting the economy and society. 💡 Learn from Experts: Collaborate with AI
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join the AITAX project? 🌍 Make a Difference: Work on a game-changing project automating tax processes using AI, positively impacting the economy and society. 💡 Learn from Experts: Collaborate with AI
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-changing project automating tax processes using AI, positively impacting the economy and society. 💡 Learn from Experts: Collaborate with AI leaders and tax law specialists, gaining hands-on experience with
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
work closely with a second PhD student, primarily based and supervised at Gepetto, and focusing on the development of RL motion generation and simulation-driven co-design tools. The two PhD projects will
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Develop and implement motor-twin models for BLDC/PMSM drives, including parameters and state estimation. Deliver reduced-order high-fidelity electrical machine modelling methods suitable for simulation, HIL
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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and