247 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ" positions in Switzerland
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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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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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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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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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immunotherapy development. Candidates should also explore innovative approaches such as integrating high-throughput data, single-cell immune profiling, digital health platforms, and advanced computational
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for the application process with UZH as host institution (incl. salary rates) and what information is required on AVA. (PDF, 825 KB) Please contact the responsible persons at the institute, seminar or clinic
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environments (Schmidt, Science, 2022) — especially in the context of drug–host microbiome interactions — and developing dedicated tools and analytic workflows for the novel data modalities generated by Record
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, NGS-based screening) Structural analysis: utilize computational structural biology tools to ensure designs maintain assembly competence and structural integrity Data integration: process and analyze