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such as R or Python, and word processing and spreadsheet programs Very good data processing skills, ideally with a focus on remote sensing Very good written and spoken English and German (each at least B2
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
on the microstructures. Unlike industrial clean room processing, the R&D environment of a university clean-room exposes you to a stimulating environment of constantly evolving processes, projects and scientific questions
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biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
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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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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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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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/ 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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results in the context of the latest scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners