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Python, R, and familiarity with bioinformatics tools and databases. Excellent communication skills, with the ability to collaborate effectively across multidisciplinary teams. WE OFFER: Located in a region
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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Bayesian belief networks; Experience in scenario development approaches, e.g. SSPs; Experience in the application of R-based analytical tools for qualitative or semi-quantitative modelling, incl. RQDA
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
pipelines. Expertise in machine learning, with a particular emphasis on the application of large language models (LLMs) in biological data analysis. Proficiency in programming languages such as Python, R, and
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languages such as R and Python, bash scripting and deep learning frameworks Ability to acquire and process data from sequencing facilities or public resources, work with HPCs, run, adapt existing pipelines
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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in data analysis (R or Python) Basic knowledge of optics Interest in the field of indoor farming/vertical farming Fluent in English What you can expect As part of a dynamic team, you actively drive
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manufacturers and R&D partners in clean room and laboratory areas at the "An der Bartlake" site. The CNT offers process and technology developments as well as services at Ultra Large Scale Integration (ULSI
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or a related field (M.Sc. degree or equivalent) Experience conducting observational or experimental studies with animals Quantitative skills in R or Python Excellent communication and teamwork skills
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way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R