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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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monitoring; Experience in parallel programming and high-performance computing; Ability to work autonomously within a multidisciplinary team; Experience in communicating technical-scientific results orally and
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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