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set the minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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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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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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systems with a focus on optimal filtering (Bayesian filters, e.g., Kalman/particle filters) in the context of indoor/outdoor navigation as well as in the application areas of autonomous platforms and
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programme Reference Number AE2025-0600 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0600
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Sponsored Research Administration Posting Number R250206 Posting Link https://www.ubjobs.buffalo.edu/postings/60523 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration
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and help shape the future of safe autonomous systems. Description of the project This project aims to develop novel strategies for safe and adaptive navigation of autonomous mobile robots in dynamic
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robots with an optical localization system enabling them to navigate autonomously in dynamic and unstructured environments. This requires the robot to be capable of localizing itself within
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and