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statistics, with a wide range of topics in probability and statistics to choose from. The application deadline is April 23. For more details, see the advertisement: Requirements Additional Information Work
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prominent place in Scandinavian mathematics. The department consists of three divisions: mathematics, computational mathematics and mathematical statistics. Researchers at the division of mathematical
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: Mathematics, Mathematical Statistics and Computational Mathematics. The Division of Mathematics carries out research in a wide range of branches of pure mathematics, including algebra, analysis, combinatorics
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Economics. Concrete tasks: Process and manage large datasets. Conduct statistical and econometric analysis, primarily using Stata, but also MATLAB or Julia. Write project reports that summarize analysis
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astrophysics, biophysics, condensed matter physics, gravitation, cosmology and astroparticle physics, high-energy physics, and statistical physics/complex systems. The research activity of the local academic
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that you have: Working ability in R Statistical knowledge and experience in multivariate modelling Experience with using GIS (geographical information systems) Strong communication skills in English, in both
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similar to this project Statistical software, in particularly STATA The use of OCR software. Terms of employment This is a part time position of 50 % for a period of six months, with the possibility
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of the participants during data collection Collection of brain imaging data Coordination of study days Data management and preliminary statistical analyses of immunological and behavioral changes Handling and analyses
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this effort, we use and develop theory, statistical methods, and numerical models in close interplay with observations. We also develop and lead observational research using satellite and surface-based
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. This project will combine established methods for statistical and graphical (re-)analysis of experimental data, policy documents and literature review, and likely experimental in vitro studies to fill data gaps