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between 2026 and 2029 and includes experimental campaigns, field installations and data collection, data processing, algorithm development and system optimization. Job description Experimental Campaigns and
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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained
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efficient and sustainable chemical processes for the production of active ingredients in the pharmaceutical and agrochemical industries. You will develop flow and microfluidic reactors for simultaneous
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the Electrochemistry Laboratory, we are looking for a PhD student. This project aims to understand the mechanisms of electrochemical oxidation processes for the removal of emerging contaminants in water and to develop
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, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as well as external