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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD
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and hard-working lab group, with a shared vision to improve the understanding and management of neurodegenerative disorders using big data methods and machine learning approaches. Click the 'Apply
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lectures on the following modules: Analog Signals and Systems (45AH) Digital Signals & Systems (45AH) Machine Learning (45AH) Operating Systems/Computer Architecture (45AH) Computer Vision/Image Processing
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interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning
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science. Apply and/or develop cutting-edge computational methods, including machine learning and AI, to address fundamental questions in biology, medicine, or public health. Contribute to undergraduate and
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individuals with a PhD degree from a recognized university and with substantial expertise in Machine Learning. Qualified candidates will be recruited according to their academic accomplishments
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of Computer Systems. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a
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vision Special Instructions We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply
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University of California, San Francisco | San Francisco, California | United States | 14 minutes ago
program learners. Coordinates program operations, which include teaching and learning activities, program curriculum, learner scheduling, and reporting education data, maintaining databases, tracking