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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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is expected to contribute to foundational research in dynamic modeling, stability analysis, and control of coupled data center–grid systems. Emphasis will be placed on developing new theoretical
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optimization in controlled environment crop production, the research group ‘CEA-Controlled Environment Horticultural Systems’, we look for an enthusiastic and ambitious Scientist (f,m,d) in the area Resource
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predictive control (MPC), data-driven approaches, and physics-informed models. Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty
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modelling Familiarity with containerization or version control workflows Interest in regulatory AI reporting frameworks Interest in synthetic data generation Personal Profile Reliability and structured work
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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systems must be carefully designed and managed to control water ingress, maintain mine safety, and support productivity. Potential approaches to improving mine water predictions may include the integration
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications