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of the Scholarship Objective: This scholarship is part of the PULSE project. This project aims to develop artificial intelligence-based solutions for non-invasive assessment of the heart's electromechanical activity
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the operational to the climatic scale, also making use of artificial intelligence technologies, data-driven approaches, theoretical physics methods, and high-performance computing. Where to apply Website https
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virtual reality simulators; Support for the implementation of predictive models of artificial intelligence in medical practice, contributing to the modernization of health education and the transition
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), which is supported under the measure "RE C05-i08.m04 - Support the launch of a programme of R&D projects focused on the development and implementation of advanced cybersecurity, artificial intelligence
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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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reference 2024.07643.IACDC, funded by the measure "RE-C05-i08.m04 - "To support the launch of an R&D project program aimed at the development and implementation of advanced cybersecurity systems, artificial
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)humanity’ of Artificial Intelligence. The successful applicant will contribute to the wider project, but will also undertake their own distinct Masters project. The details of the thesis project are open to
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artificial intelligence technologies. The work will be developed in close collaboration with industrial partners (ATENA and BARUFIL), providing the grantee with practical experience in a real context of
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conduct interdisciplinary research combining software engineering, artificial intelligence, IoT development, and human-computer interaction to create intelligent software systems that serve both technical
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to or higher than 16 points. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Literature review in artificial intelligence algorithms for Fairness in Online Learning algorithms