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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
for this position is $85,600 - $128,400 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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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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: 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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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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-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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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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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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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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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