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infrastructures for controlled, secure, and private data sharing ; - Analysis of technologies for implementing a data space in an industrial context within ocean technologies ; - Design, development, and
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the lifecycle of AI systems, from data preparation to model use, monitoring, and updating, should be aligned with human activities, organisational processes, and decision-making in industrial contexts
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estimation.; • Investigate confidence-aware aggregation strategies for robust patient-level decision making.; • Validate the proposed methodologies using large multicentric endoscopic datasets.; • Publish
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for analysing distributed data. The approaches developed will be systematically evaluated and compared, considering their performance, suitability for the context, robustness and limitations. The work will also
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of technical-scientific documentation within an applied research context. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Study of robotic systems at the Center for Robotics and Autonomous Systems
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maritime traffic and identifying species present in the ecosystem. In this context, particular emphasis will be placed on the collection, compression, and fusion of acoustic data acquired via DAS systems