531 parallel-and-distributed-computing positions at University of Southern California
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environment. Must be comfortable with computers. Must be willing to travel throughout the Keck Medicine of USC Community (on campus, satellite practices) to cover practice integrations, vacations, illnesses
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. Responsible for understanding and participating in the organization-wide Performance Improvement Program through orientation, education, departmental and interdepartmental quality control, performance
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from inpatient, ER, OPS, and bed patients. Accurate data is entered in the computer and on the Conditions of Admission Responsible for speaking with the patient in regard to their financial
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• Minimum of 1 years of relevant experience in biostatistics, statistics, computational biology, computer science or related disciplines • Strong statistical analysis skills; fluency in R is required
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emerge from the course understanding the difficulty of regulating computer crime(s) on the internet and how these crimes affect society as a whole. Topics throughout the semester include how lawmakers and
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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 Master of Science in Perfusion Sciences (MSPS) Program within
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, projectors, screens, monitors, etc. Lighting – Intelligent Lighting, up lighting, basic lighting kits, stage lighting, etc. Computers - Advanced knowledge on PC and Mac software for streaming & web casting
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Astronautical Engineering areas that align with USC’s $1 billion Frontiers of Computing initiative—the largest, most comprehensive academic initiative in the university’s history (https://computing.usc.edu
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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing
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collaboratively with Case Managers on discharge planning issues. Provide group facilitation and program development. Triage/ Management of clinical caseload – demonstrate the ability to identify high risk