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/ uncertainty quantification Surrogate modeling / operator learning Strong theoretical understanding of sub-network dynamics, modularity, and system behaviour Programming proficiency: Python, Julia, MATLAB, R
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and international conferences, writing R&D reports and scientific publications. What you bring: Ph.D. in Computational Biology, Immuno-Oncology, or a related data-driven field with at least 2 years of
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
large, high-dimensional single-cell datasets and expertise in computational tools such as Python and/or R are required. Additional experience in the following areas would be a valuable asset: Reference
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and backend development (e.g. using Python, Java, database technologies) as well as script-based data processing and analysis (e.g. Python or R). Experience with agile development methods and DevOps
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in R, Python or Matlab and ability to work with large datasets Independent and analytical working habits Very good English language skills Our Offer: We work on the very latest issues that impact our
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: - Familiarity with working with quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e. g. R, stata, Python) - Interest in economic sociology and
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computer skills for text and image processing (Word, Excel) Experience with statistical analysis programs like R Experience with image editing and processing software like ImageJ, Photoshop Experience with
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Department Reference 25.84-1240 The R³B experiment represents a challenging setup in the frame of the FAIR NUSTAR pillar and is carried out in the environment of an international collaboration. R3B provides
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. g. R, stata, Python) - Interest in economic sociology and political economy in general and the sociology of insurance and climate change in particular - German skills (at least B1), English (C1
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communication skills. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R