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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Type Temporary Staff (SHRA) Position Title Research Technician Position Number 20075146 Vacancy ID S027081 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Monday – Friday; 25 – 40
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to bring professional expertise into our classrooms. We invite applications for a range of adjunct (part-time) teaching appointments for the 2026-27 academic year. Courses must be designed for policy
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and available funding. FTE: Varies based on assignment Retirement Eligibility: Eligibility based on semesterly assignment, for more information visit https://hr.untsystem.edu/benefits/ About Us - Values
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adjunct faculty who are passionate about teaching and learning. Adjunct faculty are qualified part-time instructors offered teaching opportunities based on course demand and staffing. Teaching
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adjunct faculty who are passionate about teaching and learning. Adjunct faculty are qualified part-time instructors offered teaching opportunities based on course demand and staffing. Aurora University is
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, dashboards, and visual analytics. The role also manages datasets to ensure accuracy and usability across capital planning processes and develops graphics, charts, tables, and reports that synthesize complex
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research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you are interested in joining us, please contact pwonka
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The University of Chicago Academic Jobs Teaching Fellows in the Visual Arts Department of Visual Arts, Division of the Arts & Humanities Position Type: Other Academic Appointee Salary Range: $62,731
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Department: Advancement and Alumni Relations Classification: GMU Worker Job Category: Part-Time / Hourly Wage Job Type: Part-Time Location: Fairfax, VA Workplace Type: Hybrid Eligible Sponsorship
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 6 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software