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time across spatial scales. You will work with available datasets including the International Tundra Experiment phenology dataset, cross-site time-lapse photography (phenocams) and remote sensing data
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skills. In this postdoc project, you will study plant phenology change over time across spatial scales. You will work with available datasets including the International Tundra Experiment phenology dataset
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time across spatial scales. You will work with available datasets including the International Tundra Experiment phenology dataset, cross-site time-lapse photography (phenocams) and remote sensing data
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vegetation change and the implications for wildlife species. We collaborate with a team of early career researchers, Northern partners and international experts to conduct this research. Minimum Qualifications
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understanding of tundra vegetation change and the implications for wildlife species. We collaborate with a team of early career researchers, Northern partners and international experts to conduct this research
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the Granville Laboratory. Work location is at the ICORD (International Collaboration for Repair Discoveries) Centre at the University of British Columbia in Vancouver, British Columbia, Canada. Located
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datasets of plant community composition working with the point framing data from the International Tundra Experiment (ITEX+) database. You will then statistically model vegetation change over time and in
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to global change across the tundra biome. For this project, you will assemble spatially explicit datasets of plant community composition working with the point framing data from the International Tundra
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career researchers, Northern partners and international experts to conduct this research. Minimum Qualifications A PhD degree in ecology, remote sensing, environmental sciences or a related field Strong
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. For this project, you will assemble spatially explicit datasets of plant community composition working with the point framing data from the International Tundra Experiment (ITEX+) database. You will then