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Field
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program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF) and
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novel contributions to the field of computer vision and deep learning in smart manufacturing. These novel algorithms will then be integrated on to a mobile robotic system that will inform the design and
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-processing (noise-reduction, calibration) and analyzing sensor data; You work towards combining sensor fusion and inversion algorithms to interpret 3D subsurface variations; You participate in (international
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for advancements in critical DoD areas, such as integrated hypersonics, directed energy, advanced materials, trusted AI and autonomy, robotics, FutureG, human-machine interfaces, and integrated sensors. We
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diagnostic tools, automation, advanced software, and sensors and controls among others). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present
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, micro and nano sensors, and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production, as well as system concepts and system
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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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Job title: Assistant Professor in Signal and Image Processing or Robotics School: School of Engineering & Physical Sciences Institute: Institute of Sensors, Signal and Systems Grade and Salary
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, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We