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6 Jan 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Informatics Computer science » Programming Computer science » Other Engineering » Computer
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
training in field. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600 - $194,800. Please apply online at https://aprecruit.ucsf.edu/JPF05905 . Document
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economics. More information may be found at https://www.uta.edu/academics/schools-colleges/business/departments/economics College of Liberal Arts: All areas of Liberal Arts will be considered, including
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applications. A thorough knowledge of: Business English and arithmetic; general office methods, procedures and practices. Ability to plan, develop, and coordinate multiple projects. Ability to read and write
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 39 minutes ago
medium. Methods of investigation may include analyses of archival multi-wavelength observations from space- and ground-based facilities, as well as new observations and analyses. Additional interests
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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Offer Description This project investigates vibration-based methods for monitoring the structural health of deep underground tunnels throughout their lifetime. Structural Health Monitoring (SHM) based
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experience (e.g., with instrumentation and research equipment, social science research methods, or creative activities). Specialists appointed at the Assistant rank must possess a master’s degree or a
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and