278 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" positions at Stanford University
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performant and easy-to-use robot learning platform. You can find out more about BEHAVIOR on https://behavior.stanford.edu. In this position, you will co-lead the project under the guidance of the SVL faculty
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immediately responsive to our diverse clientele. Exciting opportunity: Job Title: Sprinkler Landscape Specialist Department: Grounds Job Code: 8067 Range: A26 Exemption: Non-Exempt, Bargaining Union Location
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test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. * Extract data from source
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information is captured in our official files for immediate access to your resume and cover letter, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition
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disciplines and life experiences to creatively address critical questions for today's world. Learn more at https://biology.stanford.edu/ POSITION SUMMARY: The Yan Lab at Stanford Biology is actively searching
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to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and
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Schedule: Full-time Job Code: 1013 Employee Status: Regular Grade: F Department URL: http://pediatrics.stanford.edu/ Requisition ID: 107858 Work Arrangement : Hybrid Eligible
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, documenting, coding, and analyzing data using a variety of methods. Ensure quantitative and qualitative dimensions of a study are seamlessly integrated from initial design through final reporting. Meet with
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the California Vehicle Code and Stanford University driving requirements. Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote
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, harden, and ship features—partnering closely with product, security, infrastructure, and application teams. This is an applied engineering role (not research). You’ll learn rapidly, contribute code daily