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Field
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analyses, and data visualization. Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences. Experience working with satellite
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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of computer science are invited, while candidates with core expertise in robotics AI (including drones and humanoids), digital twins, software engineering, theory/algorithms, and cybersecurity are particularly
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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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(providing detailed information about each work to be read by algorithms). 3. Manage relationships with authors, agents, buyers, and reviewers. Carry out permissions research and royalty work (coordinating
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expertise—from circuits and architectures to algorithms, models, and systems—and includes opportunities to conduct radiation testing at the NASA Space Radiation Laboratory (NSRL ) at Brookhaven National
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University of Massachusetts Medical School | Boston, Massachusetts | United States | about 2 months ago
management activities, fraud/waste/abuse efforts, and other clinical initiatives as required. • Participate in/lead the development of policies, clinical standards, guidelines, criteria, and algorithms for use
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expertise—from circuits and architectures to algorithms, models, and systems—and includes opportunities to conduct radiation testing at the NASA Space Radiation Laboratory (NSRL ) at Brookhaven National
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. The Department of Robotics focus is on rigorous, high-impact, original research emphasizing robot learning, (eg CoRL) and robot algorithms (eg WAFR) rather than development of new robot hardware. Research topics
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and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service