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24 Months Specific purpose whole-time post This role is part of a national operations team for Rinn Artificial Intelligence – Research & Innovation in Data Science and AI, a multi-institutional
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project will first define and then apply Artificial
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orbit to Mars. Its activities focus on four pillars: Artificial Intelligence, Extended Reality, IoT & Robotics, and Quantum Technologies, supported by robust data governance. Key initiatives include AI
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Package 7 randomized trial based on comprehensive cardiac assessments. This includes preparing materials for patient enrollment in the study, which evaluates the benefits of artificial intelligence as a
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preparation and assist in proposal and grant-related documentation. Requirements: A Bachelor's degree in Computer Science, Artificial Intelligence, Cyber Security, or a related discipline. Research or applied
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 3 months ago
14 Jul 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established...
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through interdisciplinary research in cybersecurity and artificial intelligence. Key responsibilities: Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on
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Artificial Intelligence Position Details Position Description The Department of Biobehavioral Nursing and Health Informatics in the School of Nursing at the University of Washington invites applications for a
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Recent advances in artificial intelligence have produced highly accurate diagnostic models across a wide range of medical applications. However, these systems often provide little insight into how