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computing, software development, geospatial or time series modeling, and mathematical modeling, or other areas of interest. This opportunity represents a unique window into the food safety regulatory
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. Navy under the Department of Defense and is one of eight subordinate research commands in the global network of laboratories operating under the Naval Medical Research Center (NMRC), Silver Spring
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with deep learning models such as autoencoders and neural networks. Experience with ecological, geospatial, or movement data (e.g., GPS telemetry). Strong oral and written communication skills, including
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bioinformatics software). Strong foundation in experimental design, advanced statistical analysis, and scientific writing. Proven research experience in insect biology, ecology, or biological control, with a clear
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newly established network of experimental silviculture and genetics plots while leveraging existing long-term studies and datasets to meet urgent questions in the near-term. The research fellow will
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/statistical skills Experience with statistical analysis software (e.g. R, SAS), GIS software (e.g., ArcGIS, QGis), and programming languages (e.g., R, Python, C++). Experience or interest in science integration
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). Experience with GIS software (ArcGIS, QGIS) Field data collection, processing and interpretation experience Formal Computer Science coursework. Ability to research effectively independently and as part of a
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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will establish standardized immunological assays to define the correlates of protection, focusing on both mucosal and systemic cellular responses. Finally, the project culminates in the evaluation
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establishing a soil moisture monitoring network within agricultural fields for validating NISAR products. The second goal is for the candidate to learn about new technologies in radar and optical remote sensing