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offer the most robust trials of forest restoration outcomes available. The research fellow will participate in the analysis and write-up of two related long-term silvicultural field trials: Blacks
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preparation, and the organization and analysis of large datasets generated from multiple sensing platforms. You may also collaborate on activities involving image based AI model development, data interpretation
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to enhance resistance against pathogens. While the primary emphasis will be on molecular approaches—such as gene expression analysis, promoter characterization, and functional validation—the project also
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activities and research in several areas. These include, but are not limited to: 1. Cell culturing and aseptic techniques 2. Data analysis 3. Maintaining cultures of cells and/or organisms 4. Activity and
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of the relevant fields (e.g. Ecology, Forestry, Climatology, Geography). Degree must have been received within the past four years, or anticipated to be received by 9/30/2026. Preferred Skills: Data analysis and
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or further their skills in using the Large Fire Simulator, FLAMSTAT, the Forest Inventory and Analysis Datamart, the TreeMap dataset, the FuelMap dataset, ArcGIS Pro, R, and/or Python. Learning Objectives
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. Research Project: Joining a team of landscape and fire ecologists to learn about and support geospatial analysis of fire mitigation implementation in the highly fire prone lands of Kona and Kohala on Hawaii
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biological processes. NATIONAL PROGRAM: NP104 Veterinary, Medical, and Urban Entomology. The objective of this research is to integrate AI-based gene expression analysis and long-range interaction prediction
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. This fellowship offers a unique opportunity to be at the forefront of groundwater technology, gaining experience on projects ranging from groundwater sampling and geophysical imaging in the field, analysis
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improved varieties of barley, oat and potato germplasm with improved disease and pest resistance. It also houses the National Small Grains Collection, a component of the National Plant Germplasm System