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                , land cover, population) Classification of burned area and active fires using medium resolution data from the Landsat and Sentinel programs Spatiotemporal analyses of fire behaviour in different contexts 
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                total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description Would you like 
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                25 Oct 2025 Job Information Organisation/Company Umeå universitet stipendiemodul Department Faculty of Science and Technology, Department of Ecology and Environmental Science Research Field 
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                23 Oct 2025 Job Information Organisation/Company Linköpings University Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 1 Dec 2025 - 12:00 (UTC) Type of Contract 
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                data from an eddy covariance flux tower to explore the ecosystem-scale carbon balance and evapotranspiration fluxes in a typical northern crop rotation. Data collection will take place within a large 
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                24 Oct 2025 Job Information Organisation/Company Umeå universitet stipendiemodul Department Medicinska fakulteten, Department of Medical Biochemistry and Biophysics Research Field Medical sciences 
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                24 Oct 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Medicine Research Field Medical sciences » Medicine Researcher Profile First Stage 
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                . The working language in the group (and at the department) will be English. Application A full application should include: Cover letter describing your research interests, project ideas, and contact information 
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                checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department 
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                others do not, we hope to improve future treatment strategies. We conduct advanced molecular analyses of tumor tissue from patients undergoing immunotherapy. These analyses generate large amounts of data