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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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clinical decision-support axis, focusing on building robust and generalizable models, incorporating explainability techniques, performing rigorous quantitative validation using clinically meaningful metrics
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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-effective use of network signaling. The main idea is to explore new optimization approaches and robust techniques to handle channels and other parameter uncertainties and temporal variability, along with