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candidate will work closely with wet-lab scientists and will play a central role in the development, implementation and application of bioinformatics pipelines for gene expression analysis, with a particular
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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