181 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BBMRI-ERIC" positions at ETH Zurich
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/certificates Contact information of 2-3 referees A short description of research interests Please note that we exclusively accept applications submitted through our online application portal. Applications via
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research achievements and research interests Detailed CV Transcripts of all degrees (English) Names and contact information of at least 2 references Representative published research work (Papers or thesis
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involve team-based, open-source software development to build planning automation tools and digital information exchange between AEC disciplines. Specific topics of investigation may include computational
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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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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portal. The deadline for applications is the 3rd of April, 2026, with a start date of Summer-Autumn 2026. Further information about our groups can be found on the Planetology and High Pressure Group
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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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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