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Field
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) environment. This role focuses on developing, implementing, and evaluating ML algorithms and systems, supporting the advancement of capabilities from early-stage concepts to prototype demonstrations
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navigation sensors and systems. Our mission is to conduct new navigation technology research and development, systems engineering, and provide expert knowledge for our Navy, Army, and other U.S. government
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areas of computer science and engineering: algorithms, analysis of algorithms, animation & visualization, architecture, artificial intelligence, assistive technology, computer literacy, computer
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. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic
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and project meetings (may include travel). Coordinate with Navy personnel to secure technical data essential for reconstructing at-sea exercises and advancing sonar system algorithms. Liaison with Navy
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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for sensor networks, i.e. Kalman filter approaches Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations Collaborate with
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optimize sensor deployment and autonomy in sea, ground, air and space environments Assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation