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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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algorithms and investigate protests linked to the environmental impact of artificial intelligence and data centres. Contribute to the academic and artistic production of the project by writing articles
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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implementation of security provisioning algorithm in DFL environment Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » Communication
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estadísticos para su integración en plataformas de datos. --------------------------- Design and development of statistical data analysis algorithms for integration into data platforms. Where to apply E-mail
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, for the development of the CITMAga´s Scientific Agenda. In the Research and Transfer Area “Industrial Competitiveness” within the research program “Efficient production and management” and in the research line
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Infrastructure? No Offer Description Mission: Research and develop robotic perception algorithms that allow obtaining a 3D representation of complex environments; monitoring and presentation of results. Functions
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laboratory automation. Experience in laboratory process automation, algorithm development and machine learning and artificial intelligence (AI) applications. Experience in laboratories with quality management
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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