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Assistant Professor of Architecture - AI/Machine Learning University of Oklahoma Norman Campus: Christopher C. Gibbs College of Architecture Location Christopher C. Gibbs College of Architecture
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. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
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We work on the very latest issues that impact our research field and society, and offer the chance to help shape their future! We support you with: Meaningful tasks: A world-leading, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and...
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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The Institute for Computational and Data Sciences (ICDS) at Penn State is seeking an Artificial Intelligence/Machine Learning Data Science Engineer to join our Research Innovations with Scientists and Engineers
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on data-centric artificial intelligence (AI) and wearable biosensors for enhancing student learning, engagement, and stress management. The project combines wearable physiological sensing with machine
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We are currently seeking a Research Engineer to support machine learning research in air quality, atmospheric science, and environmental data analytics. The successful candidate will develop and
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, multi-omics data integration using machine learning, and potential collaborations with clinical and translational researchers. The project is well-suited for candidates with a background in bioinformatics