2,357 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Duke University
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Graduation from accredited Medical Assistant program accredited by the Commission on Accreditation of Allied Health Education Programs (CAAHEP) or the Accrediting Bureau of Health Education Schools (ABHES
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requirement, no more than one weekend per month. JOB ELIGIBILITY REQUIREMENTS Work requires graduation from an accredited Associate's Degree in Nursing or Nursing Diploma program. All registered nurses without
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Football, you’ll be a vital part of a collaborative, fast-paced team that supports our football program through high-quality video capture, editing, and technology-driven innovation. Be Bold. What You’ll Do
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competitive benefits package to support your well‑being, professional growth, and long‑term success: https://hr.duke.edu/benefits/ Minimum Qualifications Education Work requires skills and knowledge normally
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innovate across all areas of football operations while supporting competitive excellence and student-athlete wellbeing. What You’ll Do: Program & Game Operations Serve as the primary liaison for game
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, Computer Science, or related field focusing on quantitative and risk analytics. Preferred graduate of a program that mixes financial theory with application in a programming environment. Equivalent work experience
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Work requires graduation from an accredited Associate's Degree in Nursing or Nursing Diploma program. All registered nurses without a Bachelor's degree in Nursing (or higher) are encouraged to enroll in
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to the work described herein. Job Eligibility Requirements: Work requires graduation from an accredited BSN or Associate's Degree in Nursing or Nursing Diploma program. All registered nurses without a
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product visibility. Support the Clothing/Gift Concessions Program for athletic events, assisting with preparation, staffing, and coverage needs. Receive and verify incoming merchandise transfers; ensure
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nonlinear dynamical systems to join our interdisciplinary team. Our research focuses on developing and applying computational frameworks—including machine learning, nonlinear dynamical systems, and hybrid