228 computer-science-programming-languages-"St"-"ST"-"St"-"FEMTO-ST" positions at University of Nebraska–Lincoln in United States
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our employees: Vacation and sick leave pay Medical, dental, and vision insurance No-cost life insurance Employee Assistance Program Exclusive staff discounts Continuous improvement and innovation
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our employees: Vacation and sick leave pay Medical, dental, and vision insurance No-cost life insurance Employee Assistance Program Exclusive staff discounts Continuous improvement and innovation
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information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. Minimum Required Qualifications Bachelor’s degree plus 4 years of experience in retail
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hours including blood-borne pathogen cleanup & response and other emergency calls. Use non-riding and non-autonomous equipment. Operate and program riding equipment. Order supplies for buildings and
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hours including blood-borne pathogen cleanup & response and other emergency calls. Use non-riding and non-autonomous equipment. Operate and program riding equipment. Order supplies for buildings and
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, regular staff member, you’ll enjoy: Employee & dependent scholarship program to pursue higher education Generous retirement plans with a university match Ample paid time off, including vacation, sick leave
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of the administration of the Child and Adult Care Food Program (CACFP), ordering supplies for all of the classrooms, and providing support and resources to classroom staff. This position provides leadership
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cell and/or spatial transcriptomics, metabolomics, etc), computational biology, disease biomarkers, immune profiling is required Advanced computational and programming competence (e.g. Python, MATLAB
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, and holiday pay Medical, dental, and vision insurance No-cost life insurance Employee Assistance Program Retirement plans with university match Tuition assistance for full-time employees and dependents
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, computer science, or related quantitative field. Experience in institutional research at an educational institution Experience with multi-level/mixed effects models for longitudinal/nested data Experience