269 parallel-computing-numerical-methods-"https:" positions at University of Kansas Medical Center
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resolve system issues. Develop, test, implement, and maintain Group Policy configurations to support the University’s computing environment. Monitor and maintain system availability, data integrity
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subjects, including coding experimental stimulus paradigms in E-Prime, Presentation, PsychoPy, or other software. Experience in general computing such as working with the UNIX command line (Mac/Linux
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appropriate cleaning methods and protocols to maintain cleanliness in offices, common areas, classrooms, labs, and various other spaces. Responsibilities include executing discretionary tasks and
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the application of appropriate cleaning methods and protocols to maintain cleanliness in offices, common areas, classrooms, labs, conference rooms and various other spaces. Responsibilities include
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randomized clinical trials, and mixed-methods implementation science. Fellowship will provide the successful candidate with opportunity to engage in mentored research, gaining experience in primary
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projects, and grants. Performs basic statistical analysis using appropriate methods, and carries out advanced statistical analyses under the supervision and guidance of Biostatistics faculty member
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will help lead and manage the evaluation of various rural health programs across the state—with activities initially focused on a mixed-methods evaluation of the recently-funded Brain Health
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laboratory operations and perform laboratory procedures and testing as needed to support patient care and operational needs. Ensure laboratory testing and treatment methods are scientifically valid
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goals and timelines. Identify, recruit, and engage potential participants using methods such as EMR tools, registries, community outreach, digital campaigns, and approved advertising. Utilize systems
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. Other duties as assigned. Required Qualifications: Master's degree in Biostatistics/Statistics, Epidemiology, Quantitative Methods, Economics, Health Outcomes Research, Business Analytics or