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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
by the rules in the collective bargaining agreement. The salary range for this position is $132,000 - $180,000 (Annual Rate). To learn more about the benefits of working at UCSF, including total
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position, please contact Sue Johnson, Operations and Learning & Teaching Coordinator, Sue.Johnson@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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aspects of the role. The Executive in Residence will: Teach two courses per semester that align with their professional expertise and the needs of the program. Collaborate with program leadership
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provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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, and ecological plant physiology. Students acquire advanced methodological approaches and participate in international scientific cooperation through scientific meetings and internships at foreign
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
ensuring integration across academic, clinical, and research missions. The successful candidate will be a visionary academic physician leader with deep experience navigating the complexity of a large
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Machine Learning. Profile of the graduate The graduate displays deep theoretical knowledge in molecular and cell biology, genetics and virology, with focus on some specific branch of these scientific fields