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Field
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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Phase II contract Consistently ranked as one of America’s Best Cancer Hospitals by U.S. News & World Report Financially-secure program with strong philanthropic and community support How to Apply To be
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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, or exploring CST in relation to specific topics, such as work/employment, human migration, incarceration and the criminal justice system, democracy/populism, Artificial Intelligence, integral ecology, war/peace
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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of the leading computer science research units in northern Europe. The department boasts a history of pioneering contributions to areas such as artificial intelligence and today hosts a growing community of social
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INSAIT - The Institute for Computer Science, Artificial Intelligence, and Technology, INSAIT Position ID: INSAIT -INSAIT -POSTDOC [#28768] Position Title: Position Type: Postdoctoral Position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
Intelligence (AI) research focused on cardiology-specific applications. Projects will involve developing, training, and validating AI models using diverse clinical data sources such as ECG waveforms, cardiac