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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Experience with Knowledge Graph machine learning including KG embeddings. Strong background in data integration, ETL pipeline design, and schema transformation. Familiarity with workflow managers, with a
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the project. Strong research profile in the applications of machine learning, artificial intelligence, multi-objective optimization, spatiotemporal modeling, and processing of satellite and high-frequency flux
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the field of cybersecurity. Major Responsibilities Conduct high-quality research on the broader areas of cybersecurity, hardware security, privacy-preserving machine learning, and applied cryptography
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development plan (IDP), conduct research studies, attend required courses/seminars, write grants, publish manuscripts, present oral presentations locally and nationally, and learn other skills necessary for a
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independently and in a group atmosphere, contribute to multiple projects, and mentor or train undergraduates and graduate students. Ability to quickly learn new topics, evaluate the literature, and think
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
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applications in wearable electronics, soft robotics, and human-machine interfaces. We are looking for an ambitious researcher who is looking to use this opportunity to grow towards the next level of research
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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills