476 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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ability to quickly learn and master computer programs, databases, and scientific applications. · Ability to work under deadlines with general guidance. · Excellent organizational skills and
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): * Strong understanding of biological scientific principles * Strong computer skills and ability to learn quickly and master computer programs, databases and scientific applications * Ability to work under
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(for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating
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compensation and time allocation models. Proven success in organizational process redesign and systems optimization. Physical Requirements Constantly perform desk-based computer tasks; frequently sit
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, or combination of education and relevant experience. Knowledge, Skills and Abilities (Required): Advanced computer skills and demonstrated experience with office software and email applications. Demonstrated
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relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced computer skills and demonstrated experience with office software and email applications. Demonstrated success in following through
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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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techniques used in systems analysis Ability to define and solve logical problems for highly technical applications PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently sit, grasp
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to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day
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languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please submit the following items along with your online application