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title: CSC2515HS - Introduction to Machine Learning Please note, this position is a 0.5 FCE appointment. Course description: Machine learning (ML) is a set of techniques that allow computers to learn
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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open
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with a team of engineers, snow scientists, and forest ecologists within the ESRC/EOS at the University of New Hampshire. The appropriate candidate will have cutting edge knowledge of machine learning and
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· Familiarity with applying machine learning techniques and concepts within practical implementations in healthcare domains preferred · Experience with ML frameworks and libraries such as TensorFlow
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Signal Processing & Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
JOB DUTIES Description UCLA Health is seeking an innovative Machine Learning Specialist to help shape the future of healthcare through artificial intelligence. This role drives the development and
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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of Machine Learning (Theory or Practice). A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial