1,663 data-"https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Miami
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one or more of the following methods: lab-based experimental, naturalistic, computational, mobile health/digital phenotyping, and/or cognitive neuroscience. Individuals with interests in data science
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Electrical and Computer Engineering at the University of Miami is seeking part-time faculty
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assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information with
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pressure while meeting deadlines. Ability to process and handle confidential information with discretion. Ability to work evenings, nights, and weekends as necessary. Commitment to the University’s core
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assays, tests, and studies. 9. Performs calculations to complete research test results, collects data, and performs statistical analysis of laboratory results. 10. Adheres to University and unit-level
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relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. The University of Miami offers competitive salaries
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of patient care correlated to clinical quality outcome data i.e. develop policies and procedures for quality assessment/improvement program. Establish performance criteria, measure, and record performance
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deliverables. Ability to review and analyze information and data, identify questions/problems from this information and data, conduct research to ascertain possible solutions. Ability to organize and present
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completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information
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Assists the department in managing expectations surrounding pre and post patient care. Obtains or reviews all patient demographic information, insurance information and referral numbers. Reviews clinical