488 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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opportunities created by digitization. We believe in the power of human work and that augmenting human capabilities with machine capabilities will lead to the best outcomes for everyone. The Lab is part of
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communication skills, thrive in a team-oriented environment, and have a strong desire to learn. Duties include*: Schedule and/or call subjects for appointments; contact participants with reminders or other
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management computer applications and databases. Strong knowledge in industry standards and/or regulatory requirements. Ability to multi-task and manage deadlines. Subject matter expertise for area(s) of
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research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its
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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 career development
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outcomes. 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
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to evaluate the effectiveness of learning materials. PHYSICAL REQUIREMENTS*: Constantly stand/walk, sit, use a computer; use a telephone, grasp lightly/fine manipulation. Occasionally reach/work/ above
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outcomes. 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
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of Biology is part of the School of Humanities and Science at Stanford: https://biology.stanford.edu/. The department offers resources and experience learning from and working with faculty involved in research
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the team. Team collaboration, learning, and providing mentorship are key expectations of this role. Duties include*: Prepare complex proposals within parameters of sponsored and non-sponsored research