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and GLIMR , to infer biological and biogeochemical constituent concentrations and rates from the derived optical properties. Specifically, the aims are to develop advanced algorithms to retrieve
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vectoring. This also involves research in control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information
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aircraft (Cloud Physics Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and
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project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used to
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performance parallel processing; and the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research
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of smart material based actuators, mechanisms, advanced control algorithms, and thermal protection materials/coatings. The candidate shall have capabilities to research on multi-body systems analysis