2,361 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "INESC TEC" positions at Duke University
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acquired through completion of a bachelor's degree program. Work requires one year experience in marketing, advertising, media, promotions, graphic arts, public relations, sales, or other related background
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, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing
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or horticulture normally acquired through a two year Associate degree program in horticulture or two years post secondary education in botany or a related field. Must be able to obtain North Carolina Pesticide
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from an accredited BSN, ADN, or Nursing Diploma program. Current North Carolina RN license. Commitment to enrolling in a BSN program within two years (if not already completed) and completing within
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opportunities and variety. Professional development can be achieved through the clinical ladder program and participation in clinic committees and initiatives. Job Duties and Responsibilities: Plan, provide and
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of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response
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in Residence (EIR) to support all aspects of the Master of Engineering in Cybersecurity program. This is a full-time, on-site position based in Durham, NC. The program is designed to prepare students
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REQUIREMENTS Work requires graduation from an accredited BSN program. Exception: Registered nurses hired between July 1, 2014 and April 11, 2021 without a Bachelor's degree in Nursing (or higher) are encouraged
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and help us continue building a strong, inclusive, and competitive Duke Football program. Submit your cover letter, resume, and three references at https://hr.duke.edu/careers/apply Duke is an Equal
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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