2,463 computer-science-programming-languages-"St"-"University-of-St"-"St" positions at Duke University
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ELIGIBILITY REQUIREMENTS Graduate or completion of program that meets eligibility requirements for registry/certification or currently holds required registry or certification. ARDMS/CCI certification within 18
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Advancement Tuition Assistance Relocation Grant Employee Referral Program Nursing Specialty Certification Bonus Performance Increases Comprehensive Benefits: Medical, Dental, Vision, Employee Pension plan and
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analyze multimodal datasets (intracranial recordings, wearable sensors, behavioral and cognitive measures). · Contribute to statistical and computational analyses under supervision of the PI and research
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of operations. Required Qualifications at this Level. Experience No experience required. CN Is are eligible for promotion to CN II by meeting criteria set forth by the DUHS Vizient Nurse Residency Program within
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etweenJuly 1, 2014 and April 11,2021 without a Bachelor's degree in Nur sing (or higher) are encouragedto enroll in an appropriate BSN program w ithin two years of their startdate but must complete the program
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*** DUHS Commitment Bonus Program $5000.00 (paid in 2 installments over 12 months - 6 month increments) *** * Only new hires who have not worked for Duke University in the past 12 months (at the time of
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to machine learning human subjects research and or programming languages. Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $20.76 to USD $31.44. Duke
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Degree Experience With a BS Pharmacy degree, two years of pharmacy practice experience, or acceptable board certification, or completion of an accredited residency program and demonstrated ability
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Requirements Education NP: Graduate of accredited DNP or MSN Pediatric Acute Care Nurse Practitioner program. PA: Graduate of ARC accredited Physician Assistant program, Master’s Degree or Doctoral
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and qualitative data to evaluate program effectiveness. Interpret results and provide evidence-based recommendations for improvement. Reporting, Visualization, and Training (25%) Create visually