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conversion. Our research is at the interface between fundamental quantum physics, thermodynamics, nanotechnology, and nanofabrication. Project background This project aims to harness the remarkable properties
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. Per- and polyfluoroalkyl substances (PFASs) are a...
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analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
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12 Sep 2025 Job Information Organisation/Company Empa Research Field Engineering » Mechanical engineering Physics » Other Researcher Profile First Stage Researcher (R1) Country Switzerland
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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Materials Science, Physics, Chemistry, Electrical Engineering or similar Motivation and drive to conduct independent, interdisciplinary research Experience in thin-film technologies, PVD methods, material
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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Master’s degree in Chemistry, Physics, Biophysics, Materials Science, or a related field. Strong interest or background in soft matter, self-assembly, or nanoparticle systems (e.g., lipid- or polymer-based