114 machine-learning positions at University of Kansas Medical Center in united-states-of-America
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Department: IT Teaching & Learning Technology (TLT) ----- Online Learning Position Title: Online Learning Specialist - Testing and Assessment Job Family Group: Professional Staff Job Description
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Provide consult coverage Supervise and teach residents, fellows and medical students Support scholarly activity Collaborate with colleagues within a multidisciplinary team This job description is not
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clinical social worker, learning specialists, a writing specialist, nurse practitioners, and other health professionals to facilitate successful treatment outcomes. The position contributes
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. This position will require travel to rural areas of Kansas to provide education and hands on training to caregivers and providers to teach basic evidence-based practices. This position will be expected to prepare
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motivated to learn, assertive, detail orientated, organized, can prioritize multiple tasks and work independently. Sound judgement, strong analytical skills and exceptional interpersonal skills. Experience
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multiple staff members. Job Description: Job Description Duties: Teach statistics/biostatistics courses for graduate students in applied statistics and analytics, biostatistics, and other disciplines
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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 fellows in
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. Experience in Down syndrome research. Demonstrated ability to learn, operate, and troubleshoot complex laboratory equipment. A demonstrated proclivity towards improving processes and delivering practical
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Qualifications Work Experience: Experience with research involving animals. Animal Behavior training and testing. Single unit neurophysiology data acquisition and analysis. Skills: Highly motivated to learn
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ethic, self-motivated, willing to learn. Excellent attention to detail, organizational skills, and time management. Ability to interact effectively with multidisciplinary teams including patients