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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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techniques; b) Practical experience in experimental data acquisition, particularly with biosignal systems and physiological sensors; c) Experience in data curation and management, including cleaning
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requirements described will be excluded. Preferential factors: Experience in image analysis and processing using AI algorithms; English language proficiency; Portuguese language fluency. APPLICATION
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but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal processing algorithms. Job description The PhD research will focus
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University's Department of Computer Science. Supported by significant funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and
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for STEM education, developing or updating curriculum for robotic learning. The project works on the development hardware & software for the robot, design the algorithm with the embedded, computation sensors
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a big plus: Relevant publications (and/or M.Sc. thesis) on the above-mentioned research topics Programming Microcontrollers and Interfacing Sensors Machine Learning Algorithms and Deep Neural Networks
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Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description Dexterous manipulation represents one of robotics' most fundamental unsolved
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developing and testing with sensor fusion engines - Demonstrated experience with navigation algorithm development - Due to the requirements of our research contracts with the U.S. federal government
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integration tasking on new undersea systems using sensor technologies alongside embedded computers running Linux-based operating systems. Responsibilities Software Development Lead: Work closely with project