1,683 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at University of Michigan in United States
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study's data collection by helping with study participant recruitment, data and biospecimen collection, scheduling study visits and the family experience. We are looking for a candidate who can autonomously
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to patients representing diverse personal, professional, cultural, and socio-economic backgrounds. Possesses excellent listening skills to receive detailed information. Utilize electronic protocol database
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the data collection of clinical practice that is driven by theory and experience in the perioperative area, to assess and change teaching methods and content of the clinical education practice of the learner
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lead and execute multiple concurrent projects within the Dean's Office. This position provides operational and strategic support to Michigan Medicine's enterprise data governance program through
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Information Department : Student Life Facilities - Wolverine Village Building 5 Hourly Rate of Pay : $20.42 - $21.62 Authorization to work in the U.S. is a precondition of employment and applicants
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Information Department : Student Life Facilities - Wolverine Village Building 5 Hourly Rate of Pay : $20.42 - $21.62 Authorization to work in the U.S. is a precondition of employment and applicants
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-appropriate guidelines for communication, positioning, radiation exposures and radiation protection. Excellent attendance record. Basic computer knowledge. Work Schedule (3) 12 hours shifts, every other weekend
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to 100% work from home. Required Qualifications* Bachelor's degree in Computer Science or a related field + 5 years of experience to include experience with: PCI-compliant systems and secure data handling
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-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses. Contact Information If you have questions
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related field preferred. 4-5 years of related experience is preferred. Experience analyzing sequencing data (such as RNA-seq, ATAC, CUT&RUN, HiC, etc) and/or computational background and interest to learn