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Title: Postdoctoral Research Associate Employee Classification: Postdoctoral Research Assoc. Campus: University of North Texas - Health Science Center Division: HSC-Div of Rsrch & Innovation
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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Title: Postdoctoral Research Associate Employee Classification: Postdoctoral Research Assoc. Campus: University of North Texas - Health Science Center Division: HSC-Div of Rsrch & Innovation
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improving design decisions, reducing risk, and ensuring product quality. The position may also be hosted within the Division of Systems and Control at the Department of Electrical Engineering , depending
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51
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: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically accurate synthetic video data to expand training data and enable controlled
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both clinical assessment and secure, long-term home monitoring. You will: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically