366 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Stanford University
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environmental damage and climate change. For more information on the school, click here . EE&M is seeking a full-time Learning Experience Designer responsible for designing sustainability-related learning
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. We invite you to be a part of our mission of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Learning, Design, and Technology
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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in which all members have diverse roles. A hybrid or remote work agreement may be considered for this position. Learn more about our team here: https://med.stanford.edu/pans.html . Duties include
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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Metabolism Postdoc Appointment Term: 2 years Appointment Start Date: Rolling admission, applicants can apply as soon as possible. Group or Departmental Website: https://www.research.va.gov/programs/bd-step
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into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking a full time Deliverer I to pick up and deliver laboratory specimens, reagents, or other lab supplies to and from
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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position. Appointment Start Date: Ideally on or before July 1, 2026 Group or Departmental Website: https://med.stanford.edu/buckwalter-lab.html (link is external) https://med.stanford.edu/neurology/divisions
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling