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geospatial tools (e.g., ArcMap, QGIS) and resources (e.g., SSURGO, surficial geology vectors) or process-based biogeochemistry models (e.g., CENTURY model, PnET, BGM-Model) to predict the abundance, storage
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University of Virginia Dept of Radiation Oncology | Charlottesville, Virginia | United States | about 1 month ago
must have a PhD and/or MD. Experience in protein ubiquitylation, DNA damage/repair, and chromatin biology is preferred. Candidates with significant expertise in genome-wide screening (siRNA/shRNA and
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