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such an environment and using this information in control algorithms to ensure robust navigation. This project is funded by the Hauts-de-France Region. Mission The recruited person ensures research work. She will be in
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control regulations, the applicant should be eligible for any required authorization from the U.S. Government. Interpersonal skills and a collaborative problem solver who can navigate complex issues
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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supporting research, analyses on both processes, as well as maintain and controls withdrawal/reenrollment records, statistics, reports, and documents. Minimum Education and Experience: A bachelor's degree and
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Job Reference: 1399188 Digital & Technology Solutions (DTS) Are you driven by the excitement of navigating the ever-evolving landscape of technology and innovation while ensuring robust governance
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, multicultural sensitivity, and the ability to build trust with diverse student populations. Skill in navigating complex situations using problem-solving, collaboration, and sound judgment. Ability to manage
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reliability of autonomous Guidance, Navigation, and Control (GNC) algorithms when subjected to realistic stimuli. This research stems from the legacy of the ERC-funded EXTREMA and MUR-funded COSMICA projects
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role focused on helping transfer students and supporters navigate the transition to UNL. They are responsible for implementing recruitment strategy for transfer populations and provide regular updates
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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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in all aspects of the University’s Physical Plant and day-to-day operations of maintenance and grounds. ESSENTIAL FUNCTIONS: • Plan, organize, coordinate, direct and control all facilities operations