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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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degree in the fields of transportation, civil engineering, computer science, urban analytics, spatial planning, geography, geoinformation, psychology or an equivalent qualification. Experience with first
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, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
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, environment, society and health as well as health systems and interventions. The Department of Medical Parasitology and Infection Biology (MPI) investigates the biology and transmission of pathogens. Findings
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV Publication list Contact details of two refereesPlease send your application to...
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80%-100%, Zurich, fixed-term At Veltist – a Wyss Zurich project – we are reshaping post-operative care through our platform technology Anastoseal, enabling the next generation of implantable
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Your position The Professor of Systems Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational