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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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, engineers, and researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of research projects focused on optimizing combat
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operating conditions, it is important to develop advanced high temperature next-gen materials, thermal/environmental barrier coatings, and adaptive components for high-efficiency multi-domain operational
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be on developing statistical and mathematical models to assess airborne
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objectives: Develop processes and technologies to manufacture free-form and aspheric optical surfaces for potential grazing incidence (X-Ray) and normal incidence ultraviolet, optical and infrared (UVOIR
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-PEQS-400039-F1 Description The U.S. Army Combat Capabilities Development Command Army Research Laboratory is the U.S. Army's
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. Description: This research opportunity focuses on the development of the broadband THz Hot-Electron Bolometer (HEB) mixers with the ultimate sensitivity for operation on orbital and suborbital platforms