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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical
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at universities. The research is focused on quantifying spatial and temporal patterns of drought in dryland ecosystems and assessing the consequences of changing drought for dryland plant communities and the
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Project: The Postdoctoral Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales
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use a range of spatial and analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management
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the participant’s educational and professional background and help the participant gain knowledge in processing and analyzing large volumes of bioacoustics data. Participants will use a range of spatial and
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techniques for spatial prediction and mapping of forest species composition at the watershed and larger scales. Develop novel analyses to assess the effects of prescribed fire and understory removal on forest
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RNA sequencing, spatial transcriptomics, immunohistochemistry, RNA in situ hybridization, and/or cell culture. Computational research may include analyzing data, such as basic plotting and statistical
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, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R and spatial statistics Stipend $4,500.00 – $6,500.00 Monthly Point of Contact Michele
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(RH) and the United States Air Force School of Aerospace Medicine (USAFSAM). For more information about the Air Force Research Laboratory, please visit https://afresearchlab.com/. About ORISE This
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cross-disciplinary center to conduct sponsored research which would influence the evolution of directed energy. CDE focuses on Research, Education, Innovation, and Collaboration. https://www.afit.edu/CDE