435 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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telephone or in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform
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Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment
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, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. General computer skills and ability to quickly learn and master computer programs, databases, and scientific
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knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs
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innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits
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in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative
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on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. The group works on robotics and machine learning, and it is affiliated with SAIL, the ML Group
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The Department of Environmental Health and Safety (EH&S) at Stanford University is dedicated to supporting and enhancing the teaching, learning, and research activities on our campus by promoting a
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-oriented and conscientious, with excellent written and oral communication and interpersonal skills. To learn more about the department please visit us at: https://ortho.stanford.edu . Duties include
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. To learn more about the Center, please visit: http://med.stanford.edu/pmhw . The position will be based within a collaborative team that values a diversity of thought and background, cooperation, fairness