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, artificial intelligence and data science systems in public administration, as well as a scientific capacity-building programme”, within the Recovery and Resilience Plan (PRR), through the Recovery Portugal
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ATTRACT-DIH 1 Research Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “ATTRACT - Digital Innovation Hub for Artificial
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Communications Research Centre, project EPROCESS EXTENSIONS financed by the Polytechnic of Leiria, in the following terms: . SCIENTIFIC AREA: Enterprise Architectures and Artificial Intelligence. . RECIPIENTS
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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conduct biomechanical studies to investigate biomechanical responses to slips; iii) development of artificial intelligence tools for detecting slips and early signs of falls, with a focus on optimizing
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on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific capacity-building programme”, within the funding
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programme of R&D projects focused on the development and implementation of advanced systems in cybersecurity, artificial intelligence, and data science in public administration, as well as a scientific
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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- Work Plan / Goals to be achieved: The post holder will join the DETECT project, which aims to develop an artificial intelligence-based tool to identify individuals at clinical high risk for psychosis
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of wireless networks; - knowledge of Artificial Intelligence models.; Minimum