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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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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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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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) 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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). 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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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
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(e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Strong foundation in experimental design, advanced statistical analysis, and scientific writing. Proven
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. NAMRU-SA serves as one of the leading research and development laboratories of the U.S. Navy under the Department of Defense and is one of eight subordinate research commands in the global network