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will include: Assemble and validate modular electrocatalytic reactors and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect
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programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely related fields
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programming Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The
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assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned for 3 years
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processing Have preferably experience using ML models and tools (e.g. radiomics) in image processing and very good skills in programming Fluent in English, (German is beneficial) then, this position might
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regarding the PhD studies at the EMPA please check the website ( https://www.epfl.ch/education/phd/edmx-materials-science-and-engineering/ ). Our offer Duration: 3 years full time Starting date: From October
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Marinoni , Bereichspersonalleiterin / HR Partner Questions? Prof. Dr. Frank Nüesch Head of Laboratory for Functional Polymers https://www.empa.ch/web/s209/ Your future place of work Empa
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, Bereichspersonalleiterin / HR Partner Questions? Dr. Elia Iseli Group Leader Intelligent Manufacturing Laboratory of Advanced Materials Processing https://www.empa.ch/web/s204 Your future place of work Empa
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, Bereichspersonalleiterin / HR Partner Questions? Dr. Elia Iseli Group Leader Intelligent Manufacturing Laboratory of Advanced Materials Processing https://www.empa.ch/web/s204 Your future place of work
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and by post will not be considered. David Heusser , HR Partner Questions? Dr. David Reber Materials for Energy Conversion +41 58 765 4536 https://www.empa.ch/web/s501 Your future place of work