277 machine-learning "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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(REQUIRED): Demonstrated success in leading teams to apply data science, machine learning, and other advanced computing techniques to solve complex research problems. Expertise in data science, machine
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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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document into a computer system and verify entries for accuracy and completeness. Maintain complex databases and develop tools and guidelines for data collection and integrity. Work is performed by
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., expertise in Illustrator). PHYSICAL REQUIREMENTS*: Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull
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certification is preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk-based computer tasks
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QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C
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tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. * - Consistent with its obligations under the law
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ABILITIES (REQUIRED): Demonstrated success in leading teams to apply data science, machine learning, and other advanced computing techniques to solve complex research problems. Expertise in data science
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efficiency. We are seeking candidates with excellent organizational skills, attention to detail, and a willingness to learn. Candidates must be eager to take on challenges with a high degree of