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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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What will be funded? The applicant’s salary Materials (on a limited scale) The maximum duration of project funding depends on the faculty at which the project is carried out. Faculty of Theology and the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and...
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. The nomination documents can be submitted in German or English and must be sent in one single PDF-file to support@research.uzh.ch . If you have any questions, please contact the Research & Grants Office: support
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their careers in a diverse and inspiring university environment. We offer attractive employment conditions in an intellectually stimulating environment (employment category: POSTDOC 5). The position is initially
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description - The successful candidate will collaborate on research projects related to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long
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Recognised Researcher (R2) Country Switzerland Application Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research
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Davis comprises four faculty (Profs. Chertok, Citron, Conway, Erbacher), one senior researcher, and a number of postdoctoral researchers and graduate students. The successful candidate will work under the
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the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing scientific research
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. Within the framework of the EU
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement