167 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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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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, using data to inform its decisions, in order to shape the future of education at ETH Zurich. As a student assistant, you will contribute to embedding sustainability and ethics in teaching and learning
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our team and help shape the future of Earth observation in forest management. Project background You will join FORM (the Professorship of Forest Resources Management) and the team that focuses (1
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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in protein function, how these impact on cellular processes, ultimately giving rise to human disease. While we have a strong track record in fundamental research using computational methods and
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Logistics service provision Candidates will be responsible for conducting their own doctoral research, supporting research projects, supervising master’s theses, and assisting with teaching. They will also be
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight