711 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "IMEC" positions at Stanford University in United States
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to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu . This role is open to candidates anywhere in the United States. Stanford University has
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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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, assessment, and individual growth plans for each. Assist the Head Coach with defensive principles and defensive unit play. Daily coding and video sessions Game Day coding/filming. Daily team operational tasks
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or longer depending on funding and research progress Appointment Start Date: as early as September 2025 Group or Departmental Website: https://oconnell.stanford.edu/ (link is external) How to Submit
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area is between $39.46/hr. to $44.30/hr. based on commensurate experience and background. Additional Information Schedule: Full-time Job Code: 4098 Employee Status: Regular Grade: F Department URL: http
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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
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at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards
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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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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
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, propensity-score matching). Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. Create analytic files with detailed