2,260 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Duke University
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members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu http://www.bme.duke.edu
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compliance with EEO reporting and university hiring policies. Event & Communication Management Plan and execute departmental events, lectures, and receptions. Create promotional materials such as flyers and
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to enroll in an appropriate BSN program within two years of their start date and to complete the program within seven years of their start date. Must have current or compact RN licensure in the state of North
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, ultimately aiming to find better treatments for patients with cancer. This position is intended to provide experimental support by working in the laboratory of physician scientist Dr. Christine Eyler (https
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Duke University, School of Law Program ID: Duke-Law-VAP2627 [#31241] Program Title: Visiting Assistant Professor Program Program Type: Non-regular rank faculty Location: Durham, North Carolina 27708
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University setting strongly preferred. MINIMUM QUALIFICATIONS Education - Work requires communications, analytical and organizational skills generally acquired through completion of a bachelor's degree program
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an accredited BSN or Associate's Degree in Nursing or Nursing Diploma program. Exception: Registered nurses hired between July 1, 2014 and April 11, 2021 without a Bachelor's degree in Nursing (or higher
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Oversee corporate card (P-card) transactions and monthly reconciliations in Concur. Process reimbursements and travel expenses for faculty, staff, and students. Monitor unassigned expense transactions and
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other related duties incidental 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
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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