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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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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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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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: 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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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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of the developed technologies in real industrial situations. Visit www.lr.tudelft.nl/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics
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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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The application must include: A cover letter. A current curriculum vitae. A brief description of the applicant's current research interests. A two-year research plan together with a description of longer-term
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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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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