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technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric
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Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Other Non-Science
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) Mathematics and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years of age Affirmation I
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uncertainty, and 3) optimize information sharing and consumption. The key technical areas in this project include reinforcement learning, graphical neural network, information theory, probability, and
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sampling of information in decision-making Decision-making algorithms for human-robot collaborative tasks Game theory applied for multi-agent learning Distributed optimization communication for collaborative
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needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal
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background in cognitive neuroscience, electrophysiology, applied mathematics, biomedical signal processing, complex systems, physics, computer programming, and statistics. ARL Advisor: Scott Kerick ARL
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scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology
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forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human
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scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology