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knowledge of analysis of primary data (especially in the area of lifestyle-related disorders and metabolic biomarkers) Experience in statistical analysis of large data sets and in working with SAS and/or R
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models, especially logistic regressions and Poisson models Experience in dealing with large data sets (e.g. survey data) Experience in dealing with versioning systems (such as Git or GitHub) Very good
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recordings and numerous photographs. Large parts of the photo collection are held today in the Archive for Geography, especially from his second Cameroon expedition, and possibly from his later trips to Guinea
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Documentation research group , together with a group from the Universidad Rey Juan Carlos (URJC), is responsible for leading a work package to provide high quality data. This includes the development
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The DIPF | Leibniz Institute for Research and Information in Education offers empirical research, digital infrastructures and knowledge transfer thus contributing to tackling challenges in education
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and GPUs experience with simulations on supercomputers producing large volumes of data expertise in modern fortran, shell scripting, and processing of simulation data experience in earth system
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applications of economic theory, the analysis of large health data sets and health economic modelling are desirable. The candidate should have experience and/or familiarity with quantitative methods used in
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doctoral degree in natural science, media or biodiversity informatics, with in-depth knowledge in big data science related to biodiversity s.l. Experience in management and analysis of big data, and
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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for an excellent scientist with a University degree in Meteorology or a related subject such as Physics, Mathematics or Geosciences. Prior experience in analyzing large-volume observational data and with programming