30 evolution "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Empa
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. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-on-antimicrobial-materi… Requirements Research FieldChemistryYears
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list), copies of your academic diplomas and qualifications, a vision statement for your research group (1 page max.). Where to apply Website https://academicpositions.com/ad/empa/2025/2-tenure-track
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of laboratory technicians specializing in chemistry is also based in the analytical center. Your tasks Development of a measurement cell for the online detection of transition metal ions, fluorides, and
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Membranes and Textiles laboratory, interdisciplinary teams work on the development, integration and validation of novel sensing systems - particularly for textile applications. The focus lies
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. Empa is a research institution of the ETH Domain. For an applied research project, we are seeking a highly motivated Postdoc interested in the development of a hybrid AM manufacturing process for silicon
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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development. The project is in close collaboration with a large enterprise and focusses on the development of high-performance materials and materials systems based on, among others, silica aerogel. Key
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive