2,165 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" uni jobs at Duke University
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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, and inclusivity. Read more about our values here: https://careerhub.students.duke.edu/staff/ The Career Specialist, Sr. (Assistant Director, Career Services) in the Career Center will educate and advise
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of references via Academic Jobs Online https://academicjobsonline.org Applications received by November 10, 2025, will be guaranteed consideration. Duke is an Affirmative Action/Equal Opportunity Employer
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integrating analog and digital hardware with computer software. Strong analytical and problem-solving skills. Other Requirements: Ability to provide engineering assistance and consultation to faculty and
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Premium of $5.00 per hour Paid Training: One week of hospital orientation along with 5 clinical shifts Nursing Specialty Certification Bonus Career Ladder Advancement Employee Referral Program Employees
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and preventive maintenance program for the facilities and supporting systems; manage day to day facility management of assigned units while providing recommendations for both short- and long-term
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acquired through completion of a bachelor's degree program in a related field and/or professional credentialing as a Facility Management Professional (FMP) by the International Facility Management
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to participate in rounds on their patients. Nurses chosen for the program gain the ability to expand their own professional network and experiences in assignments on different units, including but not limited
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Job
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research focuses on developing and applying computational frameworks—including machine learning, nonlinear dynamical systems, and hybrid physics-integrated machine learning models—to predict, analyze