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the world’s largest supercomputers (Polaris, Aurora) and some of the most advanced characterization tools in the world at Argonne and Sandia National Labs. Candidates with a background in deep learning
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continuation should a business need warrant it. Essential Duties/Tasks Deep-learning/AI model training, UI/UX Design, and Game Development Train and test generative AI and reinforcement learning models Design
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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written. Additional Qualifications ConsideredEmpty heading Knowledge of CUDA. Knowledge of PyTorch or a similar deep learning framework Experience writing software trigger infrastructure. Experience
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students without regard to gender, race, religion, or national origin. Cultivating intellectual discovery and informed civic action, Bates prepares leaders sustained by a love of learning and zeal
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to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
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of Peace Studies trains the changemakers and peacebuilders of today and tomorrow. Kroc is the first stand-alone school of peace in the United States. Innovation in learning and programs is at the center
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purchasing policies, strategic sourcing goals, and operational standards. Success in this role requires both technical expertise and deep institutional knowledge of UCSF's supply chain processes, policies, and
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation
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learning libraries (e.g., PyTorch) Desirable criteria Research experience in one or more of the following areas: tactile sensing, robot grasping and manipulation, robot control, computer vision, deep