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Edge computing and edge analytics frameworks Data acquisition systems and sensor integration Automated control systems and algorithms Cyber-resilient embedded system design Testing methodologies
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fitness-for-use standards Serve as the primary point of contact between the data curation team and research scientists, algorithm developers, and program stakeholders to translate data needs into actionable
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processes to advance the discovery and modeling of associations, trends, patterns and system dynamics Support the creation of processes and algorithms to transform traditional GEOINT and open-source data
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their physical design and in the algorithms controlling them to create new capabilities for Unmanned Aerial Systems. Particular focus is on the design, prototyping and flight testing of aircraft systems via
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and human-based leadership. As organizations increasingly blend algorithmic and human decision-making, fundamental questions arise about how leadership operates, adapts, and creates value in this new
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reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling results into reports. Requirements, qualifications
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maneuvering focus on how pilots and autopilot algorithms use understanding of these fluid generated forces to control the kinematics (i.e. motion) of a vehicle in time and space. Experimental fluids testing
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artificial intelligence, advanced battery manufacturing, battery prognostics, and battery recycling. The successful candidate is expected to develop rigorous modeling, computational, and/or experimental
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fitness-for-use standards Serve as the primary point of contact between the data curation team and research scientists, algorithm developers, and program stakeholders to translate data needs into actionable
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sonar models, implementation of computer algorithms to extract information from the recorded data, and generation of reports and presentations to document findings Work on real-time/high-performance