588 parallel-processing-bioinformatics positions at University of Southern California
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Join the Trojan Family: Computer Service Engineering Title: Computer Service Engineer III About the Department Who we are:The University of California (USC) is a leading private research university
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Perioperative Support Services Tech (Scheduler) - Surgery - Full Time 8 Hours Day (7:30am to 4:00pm)
activities. Following the rules established by the medical staff, schedules cases with appropriate time allocation. Applies good interpersonal and communication process utilizing verbal and non-verbal skills
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Under general supervision of the Sterile Processing Supervisor or Sterile Processing Educator, the Sterile Processing Technician (SPT)II serve with basic knowledge of Sterile Processing techniques
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A clinically competent, registered, professional nurse who utilizes the nursing process for assessment, planning, implementation, and evaluation to provide safe, therapeutic care to patients
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As an integral part of the interdisciplinary team, the Registered Nurse utilizes the nursing process to provide therapeutic care to a specific population of patients. The perioperative registered
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Sterile Processing Technician II - Sterile Processing - Full Time 8 Hour Nights (Non-Exempt) (Union)
Under general supervision of the Sterile Processing Supervisor or Sterile Processing Educator, the Sterile Processing Technician (SPT)II serve with basic knowledge of Sterile Processing techniques
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and public speaking ability High computer literacy including Microsoft Word, Excel, PowerPoint, and Web research Has a flexible schedule including working weekends on a semi-regular basis Qualifications
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university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The Division of Otolaryngology-Head and Neck Surgery in the Department
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Position Overview: USC Department of Surgery seeking a highly motivated and skilled Post-Doctoral scholar-Research Associate to join our dynamic team focused on cancer research. The ideal candidate
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sciences, bioinformatics, or related disciplines; he/she must be proficient in Python and R and familiar with bash/Linux command-line, cloud cluster computing, and database management, and possess