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transcriptional networks Quantitative modeling and data-driven analysis of multi-parameter cellular states High-throughput and multi-scale approaches to link mechanical properties to functional cellular outcomes
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for structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group collaborates with mass spectrometry vendors and technology partners
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteETH ZürichCountrySwitzerlandCityZurichPostal
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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) We offer Funding: Full position
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https://academicpositions.com/ad/eth-zurich/2026/postdoctoral-researcher-in-iso… Requirements Research FieldEnvironmental scienceYears of Research Experience4 - 10 Additional Information Website
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or a related discipline. Demonstrated experience in planning and conducting fieldwork in freshwater ecosystems. Strong skills in data management, visualisation and quantitative analysis. Experience with