55 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Kansas Medical Center
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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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Department: Zamierowski Institute for Experiential Learning (ZIEL) ----- Simulation Business Operations Position Title: Simulation Procurement Specialist Job Family Group: Professional Staff Job
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environments is desirable. Experience with distance education, facilitation, and/or virtual learning. Skills : Problem solving skills. Communication, writing, organizational, and presentation skills. Required
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practices for diagnosis and treatment of illnesses and conditions. Complete appropriate documentation of patient encounters for medical follow-up and timely billing. Instruct medical students, residents and
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in the Department of Physical Therapy, Rehabilitation Science, and Athletic Training {PTRSAT) to teach courses in a new hybrid Doctor of Physical Therapy {DPT) pathway. This program expansion
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used to cope with crisis. Teach adults how to effectively communicate with and utilize support services within the community, to meet their goals regarding early education, healthcare, education, and
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. Collaborate with other faculty members via interdisciplinary research teams. Teach and participate in graduate courses and curriculum development. Participate in the intellectual life of KUCC, the Department
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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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activity while maintaining a supportive learning environment. Job Description: Job Duties Outlined: Leadership & Administration Oversee the daily operations of the residency program, ensuring adherence
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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