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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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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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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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(NCCR) "Separations", a collaborative project lead by EPFL (Prof. Wendy Queen) and further involving ETH Zurich, University of Fribourg, HES-SO, Northwestern University (USA) and University of Alberta
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novel setups (hardware integration, CAD design, assembly, etc.) Software development (data acquisition and processing, system communication) Your profile FH/University degree (Master or PhD) Acoustics