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; - Experience with Linux, Docker, and MongoDB technologies; - Experience with cloud technologies and deploying solutions on on-premise infrastructures Minimum requirements: - Knowledge of Software Engineering
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communication systems and edge/cloud architectures; Experience in processing large datasets and scientific computing; Knowledge of Distributed Acoustic Sensing (DAS) systems, fiber-optic sensing, or distributed
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
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aiming to develop trustworthy artificial intelligence technologies for gastric cancer prevention. The project also involves collaborations with hospitals in Rome, Bucharest, and Rotterdam.; ; This PhD