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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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of the art knowledge in machine learning regarding methods for neural networks complexity reduction ; - development of methods for the evaluation of biases, fairness, overestimation and related metrics
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3 May 2024 Job Information Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Computer systems Computer science » Informatics Researcher Profile First
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brings an unprecedented opportunity to understand complex systems through efficient data-driven strategies. To this end, advanced visualization frameworks will be used, combined with machine-learning