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37 Faculty of Business, Economics and Statistics Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Experience with in vitro cell models and in
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 6 hours ago
. Statistical and modeling analysis of radio-to-gamma-ray variations in relation to high-energy neutrino events to search for a possible connection between electromagnetic synchro-compton flares and neutrino
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the University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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administrative tasks. Qualifications and Skills You should have a PhD (or be near completion) in Sociology, Psychology, Education, Statistics, or any related field. You should have a strong interest in empirical
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; delegate tasks and establish priorities. Perform other duties as assigned. Knowledge – Skills – Abilities Core Scientific Knowledge: Biology Chemistry Mathematics Statistics Laboratory and Technical Skills
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] Position Title: Position Type: Postdoctoral Position Location: Greifswald, Mecklenburg-Vorpommern 17489, Germany Subject Areas: Soft Condensed Matter Physics Statistical Physics Statistical and Biological
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achievement of these objectives. Where to apply E-mail catherine.marchand@umontpellier.fr Requirements Research FieldGeosciences » HydrologyEducation LevelPhD or equivalent Skills/Qualifications PhD in
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and Environment (IEE-USP). Requirements: 1. Proven experience in statistical analysis (regression and cluster analysis); 2. Previous research on aging and sleep; 3. Background in Social Sciences in