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Computer Vision and Machine Learning Specialist KTP Associate £34,000 to £38,000 per annum plus training budget of up to £4,500. Department of Computer Science TrainFX Computer Vision and Machine
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and TrainFX, funded by UKRI Innovate UK, with 13.5 months remaining. This is an exciting opportunity for a forward-thinking and ambitious specialist in computer vision and machine learning to join a
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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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foster student success by establishing meaningful connections with students early in the semester to support the varying needs of each student throughout the semester. The Department of Computer Integrated
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multilayer printed circuit boards (PCBs). It draws from disciplines including electrical and electronic engineering, embedded systems, computer vision, and cybersecurity. The ability to verify hardware without
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]. This section currently has 7 research groups. The section groups conduct research across a broad range of subdisciplines within Machine Learning, Artificial Intelligence, Computer Vision, and Signal Processing
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About the Opportunity The Khoury College of Computer Sciences invites applications for the position of Part-time teaching faculty. This is a joint position in the Khoury College of Computer Sciences
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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) support the development and validation of a work ability evaluation framework; (c) assist in annotating, segmenting and pre-processing video datasets for analysis; (d) apply computer vision and/or machine