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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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to scientific exchange and team development Profile Master’s degree or equivalent in Data Science, Computer Science, Biomedical Engineering, Neuroscience, or a related field Solid experience in Python and/or R
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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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. 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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with the CEO, the R&D team, and external consultants to time regulatory steps smartly Strategic & Commercial Readiness Identify potential commercial or strategic partners for sub-products and the
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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on available technologies and development methodologies A breakdown of the overall LIFE development into major milestones and dedicated R&D missions that mature and test technology performance and retire risks
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, deep learning), and AI frameworks (e.g., Python, R, TensorFlow, PyTorch). Experience with biological or animal science data (e.g., omics, time-series production data) is highly desirable; familiarity
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Science, Public Policy, Environmental, Food and Agricultural Economics, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments