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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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models of GI diseases to continue our work in functionally characterizing the impact of immune cells including ILCs in IBD. Our research program provides a highly collaborative and supportive training
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of completion. Projects for 2024-2025 will reflect the interest of successful candidates and may fall into three broad categories: historical GIS, historical demography, and climate history. Historical GIS
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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The Population Biology Group at the Department of Biology, University of Southern Denmark (SDU), invites applications for a 2-year position as a Postdoc in Woodland Phenology and Climate Change
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Postdoc in Carbon Capture, Utilisation and Storage Techno-Economic Assessment Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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postdoc position in Real Estate, beginning August 2025. The selected candidate will collaborate with UC faculty and corporate partners on research in the application of state-of-the-art analytics
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procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining