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skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation, rarefaction, or wildland fire
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to identify formations with existing wells that could be targeted for laproscopic critical mineral extraction is an active research focus of NETL. This project will be focused on the direct examination
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Objectives: Learn about and participate in Ohia plant propagation and develop targeted studies to increase silviculture capacity. Learn greenhouse, nursery and field operations for developing a disease
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for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets
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grammar & machine learning for inverse-designing polymers with targeted thermo-mechanical properties by tuning the polymer chemistry & architecture, catering to Artic & Space applications. The framework
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the ARL S&T Campaign in the Sciences-for-Lethality with research efforts related to desired effects at standoff ranges for moving targets in access denied environments to improve the performance of future
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relationship to the performance of Army Systems; to create physically correct models that support the generation of realistic scenes of targets, terrain environments, cultural features, and battle damage; and to
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approaches; methods to mitigate these effects; modeling of wave propagation and scattering in urban and/or natural complex environments; environmental remote sensing; target remote sensing that incorporates