268 data-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Johns Hopkins University
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training, recreation, and drug-free social contacts. Monitor caseload’s urine results and make adjustment to client’s treatment plan accordingly. Enter client activity data. Inform appropriate staff member
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are seeking a Research Assistant who will oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific
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on victims, survivor recovery, and navigating medical and legal procedures for victims and survivors. Ability to maintain discretion and sound judgment with highly confidential information. Working knowledge
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where appropriate. Utilize database (CRM) in daily work, including updating individual records, pulling reports, and interpreting dashboards and data. Maintain and refine a standard set of metrics and
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for shortlisted candidates and will provide evaluators with a summary of our policies on confidentiality. To apply instead at the tenure-track level, please submit at https://www.mathjobs.org/jobs/list/27603
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to leadership and providers, supervision of the scheduling, registration, and financial clearance operations, provides data and insight to support HCMC and department strategic planning and tactical operational
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400 programs. Not only are we located in Baltimore, but we also have a presence in Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org
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consolidation. Extracts financial data from various accounting and information systems and generates reports. Performs complex statistical cost and financial analysis of reports and data and prepares reports
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participants. Schedule participants for required activities and provide any special instructions prior to upcoming tests/exams. Serve as liaison to study participants. Assist with setup of the data collection
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Bloomberg Distinguished Professor Domenico Giannone. Professor Giannone’s research lies at the intersection of economics, applied statistics, and data science, with a focus on advancing empirical and