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: Developing novel techniques to understand how information is processed within deep neural networks. Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable
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community college in the Minnesota State Colleges and Universities system. To learn more about our strategic vision, visit http://www.normandale.edu/Normandale2020. Connections working at Normandale Community
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: https://youtu.be/fjBlQ5tWcN4 Learn more about balancing work and Vermont’s beauty: https://youtu.be/b0A5k174Etw Explore the deep relationships we build through ongoing care: https://youtu.be/2jjmQ-77NXw
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to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your
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https://www.academictransfer.com/en/jobs/357205/2x-phd-positions-in-the-mathema… Requirements Specific Requirements You have, or will shortly, acquire a Master's degree in either Mathematics
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comparison to my peers. I am proficient in written and spoken English. During my courses or prior professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Direct Support Professional for IDD position is located at the Carolina Living and Learning Center (CLLC), just north of Pittsboro and next door to Chatham Park, where a variety of new amenities are now
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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for one Research Grant (“Bolsa de Investigação“) is open at Instituto de Telecomunicações, in the scope of the Project DECOLLAGE project – DEep COgnition Learning for LAnguage Generation, supported by