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Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an
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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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A Doctoral degree with an emphasis in higher education, instructional design, human relations, or related field is required. Computer Skills Proficiency with MS office suite required. Adept user
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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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to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Machine Learning Researcher - Epidemiology will report
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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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, computer
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excellent organizational skills. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety training Physical Effort Typically
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(e.g., liberal arts, economics, public policy, and/or pre-medical background) and / or equivalent experience / training Skills to learn organization-specific and other computer application programs Basic
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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