205 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at ETH Zurich
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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. Our goal is to gain a better understanding of how cloud microphysical processes interact with cloud dynamics. We conduct laboratory and field studies, use remote sensing data and numerical models
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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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description Collection of technical information about fluoropolymer manufacture (scientific literature, technical reports, product reports by companies, patents, conversations with experts, etc.) from the field
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BDS Lab) at ETH Zurich is seeking a highly motivated Scientific Assistant to join our interdisciplinary research team working
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research experience Contact information for reference letters from 3 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or
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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital