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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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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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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
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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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Required Qualifications: A Master's degree (MSc) in geodesy, hydrology, geosciences, geophysics, computer science, physics, or a closely related discipline A strong foundation in mathematics, physics, data
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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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80%-100%, Zurich, fixed-term We are looking for a motivated and hands-on Embedded Systems Engineer to join our interdisciplinary research group at ETH Zürich. Project background The Human-centered Sensing Laboratory focuses on the development of advanced sensor platforms that combine chemistry,...