1,659 data-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Michigan
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basic heart rhythms. Analyze device data to identify any abnormalities or events and collaborate with physicians to develop a plan of care. Evaluate and review remote downloads of cardiac devices which
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sanitary environment in the preparation area, inventorying Milk Room stock and equipment, and maintaining proper confidentiality and security of all information and data used in the scope of the position
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. Communicates effectively. Demonstrates active listening, written, verbal and information technology skills. Competence in computer usage, telephone etiquette, participate in team and staff meetings, and follow
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Apply Now Job Summary CIT is seeking a student worker to join our team. The primary responsibilities of this role include data entry, assisting with projects, event planning, and providing
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standards. Prepare and format documents, organize materials, enter data, and proofread correspondence and reports. Coordinate complex meeting and event scheduling, including room reservations and calendar
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Apply Now Job Summary To aseptically compound, prepare, package, and label various pharmaceutical and ancillary medical supplies. Complete designated computer-based record keeping and provide
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) position. Reporting to the Senior Associate Director of Systems and Research, this position will assist with the implementation of new technologies, such as CRM, data analysis, business processes, and
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the Huycke and West laboratories. This role spans two independent research programs and requires advanced mouse colony management, regulatory oversight, complex experimental execution, data analysis, decision
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students working on software development projects Required Qualifications* Bachelor's degree in computer science, electrical/computer engineering, or a related field 3-5 years of experience in application
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two ongoing research projects focused on prenatal stress and parent-child development. The Research Assistant will assist with participant visits, data collection and management, participant