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Department of Epidemiology and Environmental Health Posting Number R260023 Posting Link https://www.ubjobs.buffalo.edu/postings/60903 Employer Research Foundation Position Type RF Professional Job Type Full
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today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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to common cancers, including ecological, cohort or multi-level analyses, using a range of data (e.g. registers, spatial data, biomarkers of health effects, phenotype, GWAS and other -omics data). Epidemiology
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Open post-doctoral positions in ecological economics and environmental psychology The Human-Nature Transformations Research Group within the Department of Environmental Sciences, Faculty
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-term ecological data to understand the drivers and consequences of global change on biodiversity and ecosystem functions. REC also develops state-of-the-art methodology for analysing long-term spatially
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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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USNH Employees should apply within Workday through the Jobs Hub app New HampshireView, an AmericaView member state (https://americaview.org/), is looking to host a research technician within the
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
17 Jan 2026 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Environmental science » Ecology Environmental science » Other
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Biological sciences Chemistry » Biochemistry Environmental science » Ecology Agricultural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 2 Mar 2026 - 22:59 (UTC) Country Finland
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven