278 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Arkansas
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contact Human Resources at 870-460-1422. Department: Instruction Department's Website: Summary of Job Duties: Responsibilities: Primary duties include serving as the EMS Program Director and Lead Instructor
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at The Orthopedic and Spine Hospital (TOSH). Qualifications: Minimum Qualifications: Will be a graduate from a 2 year certificate program certified by the ASRT in Radiology Technology Registered or eligible by
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computer and technology skills. Must know Microsoft Word, Excel, PowerPoint, Publisher etc. Solid understanding of process improvement methodologies Ability to work independent and self-directed. Patient
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state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will help develop socio-computational models to advance our understanding
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leadership and advocacy for strategic and fiscal planning; enrollment and curricular management; student recruitment and retention; program review and accreditation; faculty and staff recruitment, professional
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, more than thirty Undergraduate programs, Master’s degree programs and a Doctorate program in Aquaculture/Fisheries. You can also develop workplace readiness through internships, co-ops and fellowships in
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and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details
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-3180. Department: COSMOS - Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our
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Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns run on social media grounded in