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expertise in the use and development of AI-based approaches for image and data analysis. A general understanding of methods for in silico prediction, modeling, or data integration and/or of experimental
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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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for international networking, industry exposure, and career development Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our values , ETH Zurich encourages an inclusive
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and/or Stata Didactic competence and enthusiasm for teaching Willingness to collaborate with colleagues, and to contribute to the academic activities and further development of the Political Science
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activities and further development of the Political Science group Willingness to contribute to the university's self-administration Strong command of German and English This position is part of a vibrant
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environment. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal
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partnership with a leading cancer neuroscience group in Heidelberg Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes
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are a good fit for the role and how you might contribute to the development of the project, along with a summary of your relevant work experience and skill sets. Application review will begin on
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and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU, GPU) and workshops for mechanical, electrical and electronic development
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the pathways that led to the formation and evolution of planets in our Solar System. The group is part of the Institute of Geochemistry and Petrology at the Department of Earth and Planetary Sciences, ETH Zurich