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Field
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Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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Associate I, Immunobiology Posting Number req26998 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses
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plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science/Synthesis component of the project
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spatially explicit social model and a qualitative reasoning engine using open language models, a local documentary corpus and model adaptation methods. * Contribute to coupling these components with DIGI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, Competencies, and Experience Strong programming skills in Python and/or R. Experience analyzing high-dimensional biological data, especially single-cell sequencing data. Strong statistical and quantitative
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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statistical models (Bayesian approaches, geographical analyses) adapted to environmental data. • Carry out statistical analyses and the spatial distribution of risk between residential environmental exposures