58 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Kansas Medical Center
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activities with an emphasis on specialty areas of expertise and to continually foster an environment of learning and discovery. This job description is not designed to cover or contain a comprehensive listing
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Workshops and Lunch & Learns for hiring managers on campus. Serve as a primary point of contact for web-based Applicant Tracking System support and provide customer service to all users, including department
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other duties as assigned by Laboratory Animal Resources (LAR) management, including veterinarians. This position needs to possess basic computer skills, be able to follow written and verbal instructions
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Center. Supervise neurology residents and fellows. This will include supervising residents in the hospital wards and the memory disorder clinic. Teach medical students in the clinic and provide occasional
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depend on the candidate’s education and experience. Job Description: Job Duties Teach undergraduate & graduate courses Develop, revise, and teach in person and online health informatics courses. Supplement
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of the Medical School. Teach by giving lectures as assigned to faculty, fellows, residents or students. Teaching in clinics and inpatient service of residents, fellows and medical students. Perform other duties as
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. This position needs to possess basic computer skills, be able to follow written and verbal instructions, learn and apply new standard operating procedures and policies. Job Description: Key Roles and
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develop outpatient clinical skills. Provide outpatient care to patients in the general neurology clinic. Teach and mentor medical students and residents in both inpatient and outpatient settings; contribute
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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