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Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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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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-based methods). Strong computational skills (R/Python), workflow automation, and pipeline maintenance in a reproducible framework. We offer A 2-year fixed-term position, with the possibility of extension
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includes multiple labs at ETH Zurich and research partners at Inspire AG, as well as industrialization partners. The main focus of this position will be to develop materials and methods for directly
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instruments available within the group include Triton TIMS, multiple MC-ICP-MS instruments, including a newly installed NEOMA, sector field and QQQ ICP-MS Working, teaching and research at ETH Zurich We value