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-made R package and provide support to the research teams Support panel management tasks such as data cleaning and data storage Profile Excellent oral and written communication skills in English and
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Engineer to lead a new R&D project investigating how to increase the efficiency of feedstock production and overall reduction of energy consumption in powder-based AM processes. The role includes material
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desire of getting a glimpse into rigorous applied research. Prior experience in handling and analysing data using statistical software packages such as STATA and/or R is desired and a strong interest and
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datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
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scalable, robust, and reproducible analysis pipelines (Python/R; Snakemake/Nextflow and configuration frameworks such as Hydra preferred) for novel experimental methods, including in vivo Perturb-seq
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languages such as Python/R/Julia, use of scientific data libraries (e.g., xarray, netCDF4, HDF5, Zarr), and workflow automation on HPC systems Strong communication skills for working across different
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. 10007007; project start 01.10.2025: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development
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; maintain our custom-made R package and provide support to the research teams; support panel management tasks such as data cleaning and data storage. Profile Requirement excellent oral and written
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materials, federal administration and nature conservation representatives, and members of the Swiss Engineering Association (SIA). Urech, P. R., Dissegna, M. A., Girot, C., & Grêt-Regamey, A. (2020). Point
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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels