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material coatings. Post-doc in the field of high through-put PVD process control and synthesis applied to compositional gradient thin film libraries Your tasks You will work on basic science topics as
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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. The Laboratory for Mechanics of Materials and...
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direction for future efforts in this broad area, and collaborating with Ph.D. students, other Post-Docs, and Scientific Staff (such as software developers from ETH's Scientific IT Services group) to produce
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the idea of building global infrastructure to make pathogen sequencing more accessible, interpretable, and equitable? This post-doctoral position offers a unique opportunity to work at the intersection
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academic record Copy of PhD degree Name and contact information of two references Evaluation of applications will start immediately, and will continue until a suitable candidate has been identified. Please
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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letter, including brief description of future research interests CV A summary of the applicant’s past research (not to exceed 2 pages) Copy of degree certificates Contact information for 2-3 references
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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