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of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
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future . Curious? So are we. We look forward to receiving your online application with the following documents: Application Letter Updated CV Names of two references Further information about the
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AVA with your UZH login (short name and password). If you do not (yet) have a UZH login, an administrative employee of the host institution can enter the project data in AVA on your behalf and then
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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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, 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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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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researchers and who help to shape a forward-looking university with innovative research-based teaching. Information on your application Please submit your electronic application for this position by March 8
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collection. This position aims to synthesise all available information from these natural fungal isolates to build hypotheses for which genetic features are essential for horizontal transfer. Job description