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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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research and industrial-scale implementation, working on the design of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work with
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research and industrial-scale implementation, working on the development of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work
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and compare material intralogistics handling alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of
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candidate will work on interdisciplinary projects aimed at understanding and improving energy network management strategies in urban contexts. The focus will be on the integration of renewable energy sources
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the supervision of Ph.D. students and guide their research work. Lead R&D projects on the laboratory and pilot plants scales, analyze the results and provide reports and presentations to management and partners
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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our research team for an exciting project focused on the development of novel synthetic methods for the production of phosphorus derivatives. These derivatives play a crucial role in various industrial