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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
, decontamination equipment and computer systems related to these duties. Incumbent participates in performance improvement planning and implementation. This position requires the flexibility to orient and work
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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
sterilization equipment, decontamination equipment and computer systems related to these duties. Incumbent participates in performance improvement planning and implementation. This position requires
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invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Seattle
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emergency action planning and procedures. Ability to train/teach others. Responsibilities: Open recreation facilities as scheduled. Working as part of the Facilities work group assist with supervising daily
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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: F01100P Department: Electrical and Computer Engineering Salary Range: Negotiable Pay Basis: Monthly Position Status: Academic Year Location: Richardson Job Summary: Position Description The Erik Jonsson
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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the functional work on NED. Experience with Machine Learning or Artificial Intelligence. Proficiency in Python, working experience of Astropy. Experience manipulating large, diverse and complex data sets
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Experience and practical knowledge of programming languages and tools (e.g. Python, Java, etc.) Knowledge in Software Engineering, AI, machine learning is an advantage Experience with software observability
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber