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- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Instituto de Neurociencias de Alicante, CSIC-UMH
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Field
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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Master's Degree in Cybersecurity Research or European Master's Degree in Law, Data and Artificial Intelligence Specific
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for Rejuvenation" This topic aims to integrate artificial intelligence, ageing biology, and early intervention strategies to identify predictive biomarkers and design personalised rejuvenation approaches. What we
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técnicas de inteligencia artificial para el análisis de datos clínicos e imágenes de microscopía de para distintas enfermedades globales. ---------------------- Application and development of artificial
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devices, with artificial intelligence at the edge and energy harvesting systems, for continuous, non-invasive, real-time monitoring of health and well-being parameters in an efficient, sustainable, and
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CPP2022-009592 “New tool based on artificial intelligence and biomarkers for the early non-invasive diagnosis of pancreatic cancer: AI-EARLY PANC” from the Ministry of Science, Innovation, and Universities
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algorithms using artificial intelligence for the implementation of cognitive autonomous robots. Where to apply E-mail ricardo.sanz@upm.es Requirements Research FieldEngineering » Industrial
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of computational biomarkers of neurodevelopment and neuroaging based on artificial intelligence. Where to apply E-mail lucilio.cordero@upm.es Requirements Research FieldTechnology » OtherEducation LevelBachelor
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FieldEngineering » Geological engineeringEducation LevelPhD or equivalent Skills/Qualifications Good computer skills. Advanced programming in Matlab or similar environments. Experience with Artificial Intelligence
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support