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We are seeking a Data Analyst to deliver high-quality management information that drives strategic decision-making for our Development and Alumni Engagement team. Your analysis will support
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Job Summary The position requires teaching the undergraduate courses in Computer Information Systems. The courses are 3 credit hour courses and may meet once, twice, or three times a week, as per
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... University Assistant (Post-Doc) for Astronomical Data Flow Systems 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 15.03.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr
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from candidates interested in working part-time hours or job-sharing arrangements. Summary of the role We are seeking a highly motivated Data Analyst to join the Analytics and Insight Team within
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Advancement Data and Reporting Officer to join our dynamic team in the Advancement Directorate, where you’ll play a key role in transforming data into meaningful insights that drive fundraising success and
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We are recruiting a new epidemiologist, statistician or health data scientist. You will primarily be working on OpenSAFELY, the national analytics platform that was created during COVID-19 by our
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Research (UFZ, Leipzig), and the German Electron Synchrotron (DESY, Hamburg). Within this context, the newly established Data Curation Unit (DCU) serves as a cross-center support unit dedicated to
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Job Description Job Alerts Link Apply now Lecturer / Senior Lecturer, Data Literacy Programme University-Level Unit: Office of the President Faculty/Department-Level Unit: Data Literacy Program
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California State University, Los Angeles | Los Angeles, California | United States | about 20 hours ago
College: Business and Economics Position Title: 2026-27 AY Lecturer Pool - Information Systems Department of Information Systems Instructional Faculty – Part-time Temporary/Lecturer Pool Position
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown