121 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at Johns Hopkins University
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personal computer. Transcribes machine dictated medical reports and other documentation using medical terminology. Performs data entry of consult questionnaires. Uses personal computer to prepare manuscripts
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for data collection and study processes. Enter data into the database. Run routine queries of the data. Perform basic literature searches. Other duties as assigned. In addition to the duties above
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, including years of work experience. Generally, NIH guidelines for postdoctoral fellows are followed based on your post-doctoral years of experience (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25
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and performs general office management duties necessary for the efficient operation of a department, office or program. This position provides project support to a Dean, Associate Dean, Department Chair
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directly to the Executive Assistant to the Executive Director, this role delivers high-level administrative and office management support to the Johns Hopkins Center for Talented Youth (CTY) at Mount
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knowledge. Manage staff including involvement in training, oversight, hiring, and performance management. Serve as a resource for all faculty, learners, and staff working in the laboratory. Responsible
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. Participate in the quality assurance program, as implemented by the Manager of Custodial Operations. Oversee and ensure the proper use and care of equipment and supplies. Assist in the development of guidelines
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system performance. Mine various data resources for development of key metrics, calibration targets, and general data useful for planning and research study design. Perform error analysis and model
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are seeking a Program Director, Strategic Projects who will lead, manage, and execute high-priority initiatives from concept to implementation with a high level of independence. Working in the Office of
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jurisdictions and programs, encompassing project scoping, scheduling, reporting, and data analysis. Analyze qualitative and quantitative program performance data, identify areas of concern and opportunities