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the protein universe to study protein evolution based on structural comparisons on a unprecedented scale (Barrio-Hernandez et al. Nature 2023). We are inviting applications from scientists with a background in
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100%, Zurich, fixed-term Applications are invited for a postdoctoral research assistant position jointly funded by the Wolf Foundation, through the Institute of Particle Physics and Astrophysics
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security standards, while allowing an high-degree of flexibility for end-user scientist to experiment with cutting edge biomedical research - from classical bioinformatics and statistics to large-scale data
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at the Spinal Cord Injury Artificial Intelligence - SCAI Lab at ETH Zurich. Our team of clinical and research scientists is dedicated to improving the long-term prognosis of Spinal Cord Injury (SCI
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expected. She or he is a leading scientist with a proven record of innovative research. The new professor and her/his research group will be expected to contribute to introductory and advanced courses in
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
projects, and establishing novel collaborations with other scientists are encouraged. Ideally, you will pursue research interests that complement our ongoing efforts. Active participation in international
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. Project background The goals of the project are to develop an infrastructure that allows domain scientists to implement models in a Python environment and to deploy a platform where scientists can run
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80%-100%, Zurich, fixed-term We are looking for an experienced scientist to co-manage the operational side of the rodent 3R-Hub affiliated with our lab, and lead our efforts to implement reduce
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development as a data scientist / applied econometrician / quantitative social scientist Salary and pension benefits according to ETH regulation . chevron_right Working, teaching and research at ETH Zurich We
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Intelligence - SCAI Lab at ETH Zurich. Our team of clinical and research scientists is dedicated to improving healthcare systems using physiological and clinical information analysis for a closed-loop decision