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system for thin, durable structural interventions. It can be deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel
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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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complex or non-planar geometries. In parallel, circular end-of-life strategies will recover fibres, upcycle fines into new low-carbon constituents, and enable structural reuse. The project comprises 11
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"Empa's materials science and technology research is of great benefit to society in the fields of energy, mobility, environment, construction and health." Prof. Dr. Bernd Nowack, Technology and
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-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely related fields Excellent written and spoken
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independently in Empa's vibrant international research environment. The ideal candidate holds a PhD in materials science, chemistry, or related fields, with a strong publication record. Prior experience in flow
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Research Experience 4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available 1 Company/Institute Empa Country Switzerland
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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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Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available 1 Company/Institute Empa Country Switzerland City St. Gallen Postal Code 9014 Street
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Website for additional job details https://academicpositions.com Work Location(s) Number of offers available 1 Company/Institute Empa Country Switzerland City Dübendorf Postal Code 8600 Street