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and recovery assessment. The effort integrates multi-sensor remote sensing, environmental covariates, and scalable data science workflows. Primary responsibilities are Pre-Fire Burnable Material
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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. Development and maturation of control algorithms is critical to achieving the potential benefits of these systems. NASA requires modeling and test capabilities to support this maturation, from control algorithm
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orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The objectives of this research are to develop advanced ocean color algorithms that take advantage
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, and C/C++ Experience developing machine learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork
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can enable low-cost and long-lasting planetary exploration missions to hot planets. Our research objective is to develop a sensor technology platform that is temperature and radiation tolerant using
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optimization algorithms Extensive communications protocol design Solid understanding of physical/link layer communications, including synchronization, beamforming, and autonomous rate adaptation Point of Contact