54 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Kansas Medical Center
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fMRIPrep, DTIPrep, and QSIPrep. Experience with machine learning frameworks such as PyTorch, for data analysis. Skills Communication Time management Multi-tasking Presentation Organization Computer skills
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Responsibilities: Develop, train, and validate machine learning and AI models, including physics-informed and hybrid approaches. Collaborate with faculty, clinicians, and research teams to design studies, define
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Education: Clinical Sciences regarding appropriateness of assessment methods as they relate to learning objectives and competencies, and facilitate collection, review, and completion of student and faculty
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ages birth to five through a variety of programs, the largest being Early Head Start. Project Eagle is also a member of the Educare Learning Network, part of a national initiative that serves as a
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and inpatient consultations in location(s) as determined. Collaborate with oncologists, surgeons and others as appropriate. Supervise and teach residents, fellows and medical students when assigned
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to pregnant women and/or children ages birth to five through a variety of programs, the largest being Early Head Start. Project Eagle is also a member of the Educare Learning Network, part of a national
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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