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to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors – selecting algorithms, preprocessing data, training models, and evaluating
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. The employee will work independently, receiving and distributing information from/to researchers, IACUC members and other faculty and staff in the University of Pittsburgh research community. Specific duties
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operations of the Equipment Services unit, including delegation of duties and support provided by all equipment staff members. This position will have oversight of the ordering, distribution, and retrieval
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to integrate ultrasound into curriculum.● Support use of digital media and web stream creation for educational and distribution, distribute content and backup data, and provide advanced troubleshooting.● Ensure
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communication skills. • Candidates must be able to work as part of a team and independently. Physical Effort The candidate must be able to walk. The facility is in a distributed environment, and to perform
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faculty orientation program, and moving expense reimbursements. This person attends meetings, records and distributes minutes and prepares other correspondence for the General Education Committee, Academic
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advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential
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opportunities; distributes and reviews work. Physical Effort Must be able to sit or stand for prolonged periods of time. Assignment Category Full-time regular Job Classification Staff.Revenue Share Advisor Job
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amendments, modifications, extensions, and terminations of contracts. • Maintains award-related schedules; ensures the complete and accurate collection and distribution of all materials. • Monitors account
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checking content; obtaining high-quality artwork to accompany stories; building out newsletter in email marketing system; managing distribution lists; and managing and reporting newsletter analytics. Assist