326 computer-programmer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Cornell University
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formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
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Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees
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Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all of the Cornell University Staff Skills for Success
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food management and large quantity cooking. Willingness and ability to be flexible to adjust to camp resources, conditions, and program. Position Details This is a full-time, non-exempt, temporary
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from Sunday morning to Friday evening each week. Specific dates of camp are July 5 – August 7, 2026. Pending availability, Assistant Camp Counselors could begin work as early as June 1 based on program
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session. Duration The Camp Nurse will work at least one week during the summer program season, from 10am on Sunday morning until 5:00pm on Friday. Specific dates of camp are June 24 – August 7, 2026
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include tuition-free Extramural Study and Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https
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Extramural Study and Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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. Desired Qualifications: Experience developing reproducible workflows (e.g., coding scripts compatible with the program R). Experience related to using participatory science and/or opportunistic data sources