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extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
the collective bargaining agreement. The salary range for this position is $28.04 - $45.09 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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for this position, however, we are still accepting applications from other qualified candidates. Position Summary Our goal is to identify computational principles underlying learning and decision-making behavior and
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-year experiential program designed to advance lifelong learning and the education and training of Pharm.D. graduates. A key element of the program's success is preparing Fellows to meet evolving
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Introduction to Big Data Introduction to Data Science Introduction to Machine Learning Machine Learning and Deep Learning Entrepreneurship and Innovation Management Building a Business Plan Business Negotiating
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of Clare College as an outstanding centre for teaching, learning and research within a collegiate environment that combines tradition with innovation. For further details on the role, please visit https
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(www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or nonlinear dynamical systems to join our interdisciplinary team. Our
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deep neural activity, using methods that combine physics (waves in complex media) and computational approaches. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8552-SYLGIG-011
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, program development, and student engagement. The successful candidate will demonstrate a high degree of collaboration and mentorship in all aspects of the role. The Executive in Residence will: Teach two