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experimental 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
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) battery cell assembly; (4) computational methods in battery research; and (5) microscopy/spectroscopy analytical techniques are essential requirements. A proven track record evidenced by publications in
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using metasurfaces: Desired experiences of the candidates include (1) numerical modeling experience using commercial electromagnetic simulation tools, such as COMSOL, Ansys Lumerical, and (2
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space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing About ARL-RAP The Army Research Laboratory Research Associateship Program
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leading edge nose sections of vehicle systems. The research will involve intelligent, robust, and adaptive control and actuation methods that will advise scaling and feasibility for implementation in
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frameworks (PyTorch or TensorFlow) is recommended, alongside experience processing large spatial datasets using cloud or high-performance computing environments. Additionally, a foundational
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research or technical projects. Activities may include, but are not limited to, Interpreting data and analyzing results using appropriate methods, techniques, and visualizations. Practice
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other atmospheric radiation measurements in atmospheric field programs. Development and application of new lidar technology and machine learning methods are emphasized. We investigate and interpret
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learning emulators to represent forward operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize
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Wetzel ARL Advisor Email: [email protected] Science of Extreme Materials (SEM) Materials and related manufacturing methods focusing on mechanical response and performance extremes, including