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the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare
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since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences
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delightful and inclusive technology experiences for our faculty, students, and staff. You'll be surrounded by talented and dedicated people and will report to the Research Computing Services Supervisor. You
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Apply Now How to Apply To be considered for this position, applicants should submit the following materials: a cover letter, CV, one example of scholarly work, one example of a program that reflects
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effective on your very first day 2:1 Match on retirement savings Generous PTO program State of the Art technology Complimentary access to continuing education (CE) credits via American Society of Health
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, program, and service specific data to internal staff, clinicians, UMHS leaders, relevant committees, and other constituencies. Develop and maintain supporting documentation of measurement methods and
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treatment procedures in accordance with established protocols. Instruct patients in therapeutic activities. Including ambulation, and use of equipment and home exercise program. Observe and report patient
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conjunction with the PI. Think creatively about research projects to help shape the long-term direction of the lab?s research program. Work cooperatively with other members of the lab and assist in training
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to the teaching goals/requirements of a specific course, availability of funding, and relevance to graduate training. Applicants may request the status of their application from the program at any time. GEO
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Computer Science, Education, Learning Analytics, Data Science, Artificial Intelligence or related fields. Demonstrated expertise in Natural Language Processing (NLP) and/or machine learning, with experience training