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cycle or non-award courses of Higher Education Institutions. Preference factors: - Excellent performance in programming, software development, and artificial intelligence courses.; - Advanced knowledge
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(Ionic); - experience using Figma; - experience with the languages C, Python, Java, JavaScript, TypeScript, Haskell, Kotlin; - experience with Docker; - experience implementing artificial intelligence
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artificial intelligence - Evaluation of interface design, usability assessment, and user experience - Autonomy Minimum requirements: - Minimum score of 70 points in the curriculum assessment. - Availability
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance
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on artificial intelligence (AI) for energy systems and electrical grids - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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on artificial intelligence (AI) for energy systems and electrical grids ; - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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initiatives, particularly in the field of Energy Systems - Energy Transition. The objectives are:; - Development and application of artificial intelligence algorithms for different use cases in the energy
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) project aims to develop a system based on artificial intelligence (AI) and computer vision for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG
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. Preference factors: - Outstanding academic performance in Software Engineering, Programming, Software Development, and Artificial Intelligence courses; - Advanced knowledge of programming and software
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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