317 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Stanford University
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to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks simultaneously. Excellent organizational skills and demonstrated ability
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-year appointment, with renewal up to three years possible based on performance Appointment Start Date: September 1, 2026 Group or Departmental Website: https://mpolyak.people.stanford.edu/ (link is
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REQUIREMENTS*: Frequently stand/walk, sit, perform desk-based computer tasks, and use a telephone. Occasionally write by hand, twist/bend/stoop/squat, reach/work above shoulders, grasp lightly/fine manipulation
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in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational skills and
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of medicine and Precision Health. Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers
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teams that propel us on our journey toward the future of medicine and Precision Health. Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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the following areas: Expertise in organic or medicinal chemistry. Expertise in bioinformatics and machine learning. Outstanding mammalian cell culture techniques. Experience in basic cellular and molecular
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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational
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questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract