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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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(outside of a Masters or PhD program), post-doctoral research, visiting fellowships or any other research appointments are not eligible. Scholarships are only granted to students commencing or continuing in
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international conferences to present your own work, and learn about state-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering
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and research staff support the work of 94 full-time faculty and 50+ part-time attending physicians, a residency program, fellowship programs and over 300 housestaff and students each year. Our vision
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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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Faculty Position in Vision Research at Assistant, Associate, or Full Professor Rank Position: The Department of Ophthalmology is engaged in a multi-year program to expand its research faculty. We
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expertise, collaborative skills, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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and promote these programmes both within UC and to external partners. Communication and relationship-building will be aligned with UC’s Tangata Tū, Tangata Ora | Strategic Vision 2020–2030, Te Rautaki