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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
conditions. The successful candidate will work at the intersection of visual perception, digital cartography, and maritime navigation systems, addressing challenges that are becoming increasingly important as
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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
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in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning
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that exist. Further duties are outlined in the responsibilities section. Departmental tours are available to those wanting to learn more about the KU Police Department. Contact the Department for tours. Police
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, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and control Deep foundation in modern machine learning Solid programming skills in C
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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skills dissemination experience for training others. Strong political acumen and understanding of public perception, with the ability to craft communications that respond to political realities and
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understanding of public perception, with the ability to craft communications that respond to political realities and stakeholder needs. Working knowledge of AP style, with willingness to learn and integrate
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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tasks that require coordinated base-arm-hand behaviors in dynamic environments. We seek candidates with a strong background in robotics and machine learning, and demonstrated experience in at least two of