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aprendizaje máquina/profundo y técnicas de segmentación y seguimiento aplicadas al procesamiento de imágenes y vídeo / - Use segmentation, tracking and machine/deep learning techniques applied to image and
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of EnergyVille (http://www.energyville.be/en ). The location for this position will be Leuven (Department of Mechanical Engineering).The successful candidate will receive: Doctoral scholarship, renewable up
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or leading lifelong learning, transfer, or partnership based academic strategies. Knowledge, Skills, and Abilities • Deep understanding of academic governance, accreditation, and curriculum processes
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of databases containing data and signals, i.e., audio, images, and biological. Design, implementation, and testing of deep learning and AI algorithms for processing audio, image and biological signals and data
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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are: - Management and preprocessing of databases containing data and signals, i.e., audio, images, biomedical and genetic. - Design, implementation, and testing of deep learning and AI algorithms for processing
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of the nation’s top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One
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Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts
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questions in the solid Earth sciences. Candidates applying geochronological approaches to problems across the full breadth of hard-rock geology are welcome, including deep-time crustal evolution, tectonic