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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 15 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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Reporting Effort Reporting Project Modifications Equipment Management Service Centers Audits Award Closeout Compliance Resources Breadcrumbs Home chevron_right Resources chevron_right Harvard Data Science
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Posted by Ashley Brady on Thursday, April 9, 2026 in Job Opportunities . Part-Time Short-Term Research Assistant (Biomedical Literature Data Entry & Validation) Company
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computational science expertise. The ALCF has an opening for a postdoctoral position in data management targeting AI applications at scale. The successful candidate will join the AL/ML group, a vibrant
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motivated Research Assistants to join our team of data collectors in Flint, Michigan. The Prevention Research Collaborative is a large research team that includes the CDC-funded Prevention Research Center
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, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by
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of a portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET