2,061 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"U.S" Postdoctoral positions
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data
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/ multi-omic data from human subjects and experimental models, that includes cell culture, mice, and fruit flies. The lab is pursing studies to identify novel genetic drivers and disease biomarkers. A major
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology
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As a postdoctoral researcher, you will analyze data from the Youth Survey Luxembourg (YSL). The YSL spans topics including attitudes, digitality, health, political participation, and the values
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activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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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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focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically, the postdoc will partner with both biological oceanographers (Matthew Oliver, Jon Cohen) from
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum