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well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
the lift of a lifetime through learning anddiscovery. We love to open opportunities available nowhere else for our community to achieve their ambitions and make their unique contributions to Canada and the
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than 1,800 employees and nearly 21,600 students. The Machine Learning group at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is now looking for students
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This research project, “Sensor-Free Machine Learning for Physiological Correction of Brain Functional Imaging: A Lifespan Pilot Study,” investigates how machine learning can be used to improve
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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The Learning Specialist will report to the Assistant Director of the Office of Academic Support and Counseling (OASC), and is responsible for assisting with conducting learning evaluations, and in
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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challenges facing the nation. We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in
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evaluation, and technical advisory. Position Summary As an Assistant Machine Learning Engineer in the Frontier Lab, you will be a technical contributor supporting applied AI research, prototype development
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RAP opportunity at National Institute of Standards and Technology NIST Incorporating Theory and Domain Knowledge into the Machine Learning of Polymeric Systems Location Material Measurement