1,826 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "UCL" positions at University of Michigan
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Products Development and Regulation Clinical Study Operations (GCPs) Study and Site Management Data Management and Informatics Leadership and Professionalism Communication and Teamwork Responsibilities
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wheelchairs. Accurately enter patient, study, and physician information into patient?s charts. Assist and direct patients as needed for the following imaging modalities: General Imaging, Mammography, Computed
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yourself and your family and plan for a secure future. Benefits include: Generous time off A retirement plan that provides two-for-one matching contributions with immediate vesting Many choices
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electronic health record, demonstrated ability to work effectively under mental/emotional pressure, and basic computer skills are desired. Course work in an Allied Health field is desired and a Bachelor?s
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skills Familiarity with current computer application software is desired Familiarity with the use of hand tools is desired Prior experience and demonstrated customer service skills is desired Why Work
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quality improvement process with documented results. Takes initiative in seeking professional growth. Computer skills: proficient in Microsoft Office and Groupwise. Why Join Michigan Medicine? Michigan
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working knowledge of computers and navigating multiple computer applications Able to multi-task in a robust, fast paced environment Professional and Positive Interaction with Patients, Providers, and Staff
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aptitude with a variety of computer software programs including but not limited to Microsoft Office products, MiChart, Soft, and email systems. Previous experience in a laboratory environment working as a
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reporting, while collaborating closely with other teams within Computer and Multimedia Technologies (CMT). Responsibilities* Operational Leadership Supervise daily help desk and desktop support operations
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and large language models on unstructured EHR text; applying transformer architectures adapted for biomedical applications; and using Python, SQL, PySpark, AWS cloud computing environment, Databricks