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The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
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lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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its features, it enables joint fits of heterogeneous data sets e.g. from different event types, from differents gamma-ray instruments. Some work have also demonstrated that multi-wavelength (from
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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candidate will lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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/Statistics Internal Number: JR101137_1774276539 The Data Science and Statistics Program at the University of Richmond invites applications for a two-year postdoctoral research position in the Distant Viewing
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days ago
algebra, optimization, calculus and probability and statistics. Duration: The research fellowship(s) will have the duration of 7 months. It’s expected to begin in (May/2026), and it is not renewable. It is
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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UiO/Anders Lien 19th April 2026 Languages English English English Postdoc position in Statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) Apply for this job See advertisement
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across