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requires a strong background in statistics and experience implementing analyses using scripting languages (e.g., R and Python), as well as experience working with large, complex, and unstructured datasets
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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engineering, or closely related fields Excellent skills in development of complex optical systems Experience in optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python
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the lab, and at the same time to play an active role in shaping and creating an inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
(e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in climate impacts in mountain regions complete your
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conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in
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skills in quantitative data collection, management, and statistical analysis Excellent coding and programming skills (e.g., Python, R, Stata) Strong interest in research in the fields of sustainability
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or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset, strong problem-solving skills
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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