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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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12 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Computer science » Other Mathematics » Statistics Neurosciences » Neurology
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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air quality and emissions measurement instrumentation and systems (e.g., PTR-MS, GC-MS). Strong expertise in advanced statistical, numerical, and spatial data analysis for large-scale datasets is
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and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 8 hours ago
the handling of natural hazards. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. The Forest Diversity and
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geography of Italy and Europe, the identification of the most appropriate spatio-temporal statistical methodologies is required for this purpose. Where to apply Website https://jobmarket.unibocconi.eu/?id=873
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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is
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work-life balance. At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential
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associate to carry out research on machine spatial reasoning. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing tools for characterizing