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position (~4 years) in a great scientific and social environment at a world leading University (see below). The project will equally combine lab work and computational analysis of the acquired data and
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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-biodegradable polymers. Your profile Master Degree or PhD in environmental/natural sciences or engineering or similar Experience with development of computational models Preferably some experience with plastics
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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20%-30%, Zurich, fixed-term The Chair of Infrastructure Management led by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management of the Department of Civil, Environmental and Geomatic Engineering has an opening for a student research assistant in our...
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20%, Zurich, fixed-term The Professorship for Research on Learning and Instruction at ETH Zurich strives to discover effective, evidence-based ways to improve educational practice with an eye towards generalizable principles across content areas and issues of societal relevance. The group is...
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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. Our Structural Engineering Research...