230 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Kansas Medical Center in United States
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Roles and Responsibilities The faculty member will be expected to fulfill the tripartite mission of the School of Nursing: teach, participate in service-related activities that support the school, and
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of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and
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, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional
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. Experience in pulmonary, critical care, or sleep medicine research. Experience with REDCap, Epic, or similar data management systems. Skills Organization. Problem-solving. Communication. Computer skills
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, performing statistical and machine learning analyses, and generating high-quality research outputs using large-scale clinical datasets. This position will work closely with surgeons and researchers
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, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave
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paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A
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, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457
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discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program
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. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive