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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis, and
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inteligencia artificial/machine learning. Tecnologías IoT y sistemas distribuidos. Conocimientos en FPGA. // Knowledge of artificial intelligence/machine learning, oT technologies and distributed systems, and
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deliverables writing, ability to work independently. Requisitos: Conocimientos de inteligencia artificial/machine learning. Diseño software, Gestión de datos, Arquitecturas backend (microservicios), Gestión de
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Description Develop the doctoral thesis focused on Quantum Computing and Machine Learning for Power Systems Where to apply E-mail monica.aragues@upc.edu Requirements Research FieldEngineering » Industrial
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implementation of artificial intelligence models (machine learning, deep learning, and adaptive learning) applied to the sensorimotor control of a bionic arm prosthesis. • Advanced processing of neural (EEG) and
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validating the models that will be used in the laboratory's tasks. Knowledge of new machine learning methodologies such as deep learning is required. Previous knowledge in the field of health sciences
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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FieldComputer science » OtherEducation LevelPhD or equivalent Skills/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in machine learning or computer vision and have a strong publication
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research Research Line: Machine learning applications https://www.upv.es/entidades/SRH/conypi