164 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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for a passionate sales professional with a business developer’s mindset to help us do so. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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environment and will support your transition into the spin-off phase. ETH Zurich also provides assistance with permit processes (e.g., B-Permit sponsorship) for international candidates. chevron_right Working
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also provides assistance with permit processes (e.g., B-Permit sponsorship) for international candidates. chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability
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of Bern). The position will be hosted at the Institute for Atmospheric and Climate Science at ETH Zurich and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science
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Dr Daniel A. Richards and Professor Andrew J. deMello, in the Institute for Chemical and Bioengineering at ETH Zürich, are searching for two postdoctoral researchers to develop a diagnostic device
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable