1,979 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Miami
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work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer
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accredited program. Certification and Licensing: NMTCB or ARRT-N registered. Must possess a valid State of Florida License as a Nuclear Medicine Technologist. CPR and BLS certification required. Experience
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: Skilled in using office software, technology, and relevant computer applications. Advanced proficiency in: SQL (CTEs, window functions, dynamic SQL, performance optimization). Power BI (data modeling, DAX
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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understanding of disease states 2) Demonstrate the skill of reading and interpreting the medical literature 3) Develops and maintains a personal program of self-study 4) Efficiently performs in emergency
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, or in relevant field Minimum 5 years of relevant experience preferably in a University of Academic Medical Center setting. Associate degree or certification in Computer-Aided Design (CAD) and
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environment in which bench work and computational/systems biology intersect to facilitate biological research and identify new avenues through which to understand the complexity of brain cancer. The ideal