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including cytokine/chemokine assessment, immune cell analysis and evaluation of healing Preparing reports and data summaries as requested and preparing research results for presentation and publication in
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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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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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analysis. Mentor(s): The mentor for this opportunity is Guixia Hao (guixia.hao@usda.gov ). If you have questions about the nature of the research, please contact the mentor(s). Anticipated Appointment Start
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(learning and memory, anxiety, activity, gait analysis, motor and coordination tests, sleep etc.). As the selected participant, you will have opportunity to engage in several of the research focus areas using
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regulatory umbrella (ex. CLIP/CLIA/GLP), analysis and interpretation of data, and reporting of results through presentations and manuscripts. Two specific projects include the validation of a targeted next
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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
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and vegetation monitoring techniques Standard ecological sample processing protocols Data entry, management, and analysis Mentor: The mentor for this opportunity is Susan Cordell (susan.cordell@usda.gov