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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Life-saving breakthroughs, innovative therapies, and next-generation technologies. Through vision, tenacity, and inspiration, UCLA Health’s world-class researchers are redefining human health and
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addresses of no less than three and up to five references. Additional documents should be uploaded as one PDF to the “other documents” selection in the application. 4. A personal research program vision
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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The VR/AR Lab , headed by Dr. Jean Botev in the Department of Computer Science, is inviting applications for a Doctoral Researcher position in Mediated Reality. The VR/AR Lab is a research unit
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation