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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 30 days ago
integrated in a multidisciplinary team of researchers at the crossroads of programming, software engineering, human behaviour including psychology, and artificial intelligence. Work will be developed
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Artificial Intelligence (COMPETE2030-FEDER-02202800, MPr-2023-7), funded by the European Regional Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at
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Artificial Intelligence (COMPETE2030-FEDER-02202800, MPr-2023-7), funded by the European Regional Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at
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fabrication, artificial intelligence, or techno-economic analysis, which represent qualified skills highly pursued by key technological players worldwide. The consortium of MATCH doctoral programme represents a
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systems, and decision support systems, with a focus on applying Artificial Intelligence methods and tools in industry; Participation in scientific research and development projects; Authorship of at least 6
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systems, with a clear understanding of intersectoral scientific fields ranging from optical fibre communication design and implementation, components fabrication, artificial intelligence, and techno
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, measurement of physiological parameters) or HDR imaging. Powerful calculation servers are available to the laboratory's PhD students, as well as technical support for learning complex artificial intelligence
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candidates holding a PhD degree in Health Sciences, Biomedical Engineering, Data Science, Artificial Intelligence, Psychology, Neuroscience, or related fields, and possessing a scientific and professional
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, Biomedical Engineering, Data Science, Artificial Intelligence, Psychology, Neuroscience, or related fields, and possessing a scientific and professional curriculum suitable for the position, particularly in
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in BIM methodology, scan-to-BIM, automatic detection of structural anomalies in civil engineering assets, classification of point clouds, all supported by artificial intelligence or advanced data