277 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at Johns Hopkins University in United States
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Investigator or senior research staff to develop operational plans to meet research goals. Develop tools and procedures for data collection and study processes. Collect and organize data per study requirements
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' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity
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forms, and data entry instruments for research projects. Oversee research program implementation, timelines, goals and conduct of related tasks. Conduct meetings and monitor progression toward goals
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or weekend work required. Follow this link to learn more, https://www.hopkinsmedicine.org/wilmer/education/clinical-training/ophthalmic_technician.html Specific Duties & Responsibilities Clinical Records
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, retrieval, retention, storage, compilation, coding, updating, and destruction. Compose routine correspondence and reports using a computer. Gather and compile data for reports as needed. Create and maintain
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to ensure validity of findings. Work with the Principal Investigator or senior research staff to develop operational plans to meet research goals. Develop tools and procedures for data collection and study
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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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' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity
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project data. Prepare, test, and maintain standard laboratory equipment. Perform related laboratory maintenance, monitor inventory of supplies, clean equipment. Other duties as assigned. Minimum
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Professor Fei Lu and Bloomberg Distinguished Professor Mauro Maggioni on topics including mathematical foundations of data science and statistical/machine learning, with an emphasis on inverse problems and in