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Postdoc who can perform high quality statistical research. Apply August 31, 2026, at the latest. The Department of Statistics conducts research within the field of statistics and data science, including
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of Statistical Physics Proficient in English (C1) We offer A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries
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, colloquia, and summer schools. Your profile PhD in Theoretical Physics Excellent analytical and numerical skills Solid knowledge of Statistical Physics Proficient in English (C1) We offer A modern, dynamic
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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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application! Work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
statistical analysis, qualitative data analysis, and interpretation and publication of study findings. In addition, the postdoc will develop their own research questions related to their fellowship and will
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 8 hours ago
Job Code: Innere: Ilin/Postdoc. research 2/09/2026 Job Offer from September 17, 2026 The Max Planck Institute for Solar System Research (MPS) in Göttingen is one of the world's leading research
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This 2-year, full-time postdoc, starting January 2027 (or as soon as possible thereafter), is part of a French National Research Agency (ANR) funded project, UniGEM (Unified Inference for Genomic
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insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi-omics data