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, mathematical modeling, or a related discipline). Preferred skills: Experience with mathematical, computational, or epidemiological modeling (e.g., SEIR models, agent-based models, network analysis). Proficiency
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will I be doing? Under the guidance of a mentor, you will gain knowledge in various applications of AI techniques to geospatial problems at the basic research level, including image analysis, synthesis
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the need to assess the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives
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phases of animal health research by preparing tissues samples for microscopic analysis and examination by a pathologist and research the mechanisms of pathogens in animal tissues. The participant will
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). This year, CID is helping lead instrument deployment, data collection, modeling, and analysis efforts within the territory to better characterize USVI water infrastructure systems. This is in collaboration
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the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives: The research fellow will have the
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, proteomics). Proficiency in scripting/programming (Python, R, Bash, or similar). Experience with high-throughput sequencing analysis pipelines (e.g., genome assembly, phylogenetics, variant calling
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strong research skills and post-doctorate background in pollinator health and habitat conservation, biodiversity, agricultural land use, plant science, crop production, geospatial analysis, advanced
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Characterization under the mentorship of Dustin Crandall. This project will be hosted at the NETL Morgantown, WV campus. Analysis of shales that have been historically examined for oil and gas production
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vivo assays. Efficacy trials: Apply postharvest treatments to fruit and monitor disease incidence, lesion development, and overall fruit quality after storage. Data collection and analysis: Record