2,470 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "P" positions at Duke University in United States
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applications will be accepted after 2026/03/24 03:59 AM UnitedKingdomTime. Position Description Postdoctoral Associate Egner Lab, Cognitive Neuroscience / Dr. Tobias Egner Department of Psychology & Neuroscience
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Education: Teaches new weight loss and revision patient groups, providing an overview of bariatric program requirements. Bariatric Chart Reviews: Guides patients through the surgical work-up process, ensuring
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and cast to the upper and lower extremity. Accurately fit all DME products used in the clinic. JOB ELIGIBILITY REQUIREMENTS Graduation from accredited Medical Assistant program accredited by
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Practical Nurse program. Twelve months of appropriate clinical experience is required. At a manager's discretion, employees with 6 months of experience who are exceptional performers may be eligible
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Qualifications at this Level Education/Training: Work requires knowledge of plant materials and care generally acquired through completion of a bachelor's degree program in horticulture, agronomy, botany or a
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dressings. Perform other clinical functions as delegated and supervised by the physician. JOB ELIGIBILITY REQUIREMENTS Graduation from accredited Medical Assistant program accredited by the Commission
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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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program. All registered nurses without a Bachelor's degree in Nursing (or higher) are encouraged to enroll in an appropriate BSN program within two years of their start date but must complete the BSN
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now accepting applications to the Specialty Nurse Intern Program (SNIP) for the July 27, 2026 Cohort! Specialty Nurse Intern Program (SNIP) This specialized training program at Duke University Hospital
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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