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The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI-enabled space-borne perception systems for robotic
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment The work environment characteristics described here are representative
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shaping the uptake of Future Flight technologies within public sector organisations; investigate these organisations’ perceptions and norms around risk, safety, privacy, and operations; and examine how
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Applications: Blackboard, Adobe Photoshop, Perception, MEDS Learning Systems, Via Video Preferred Additional Knowledge, Skills and Abilities: Must have microcomputer experience and must be competent to work
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 26 days ago
undelivered University checks, returned ACH payments, and NSF checks. Process scanning for the Office of Bursar via ImageNow/Perceptive Content. Distribute Accounts Payable checks to faculty and staff. Process
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Passionate about AI-driven perception for intelligent vehicles
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
imitate what we hear by trial and error, we try to reproduce the sounds we hear. There is converging evidence that (song, language or gesture) production and perception are not separated processes in
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(Base Benefits, Payroll for North America, Core HR, ePerformance), Perceptive Content, SharePoint, and Power BI. Ensure system integrity, data accuracy, and compliance with university policies and
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teammates to develop experimental methods, and helping develop novel hypotheses about the visual perception of shapes. The data collection work involves posting timeslots on SONA and running in-person