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techniques to study them according to the defined neurological disease. The implementation of these methods in mobile or embedded systems will also be one of the objectives. Participation in data collection
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requirements of the subproduct collection and distribution processes and model the problem using Operations Research methods. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify the requirements
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. OBJECTIVES: Literature review on explainability, fairness, trustability, and accountability in network data; Identify and select the appropriate methods, datasets, and algorithms for the studies about
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grant will focus on the development of methods to generate case-based explanations in a federated learning environment. Machine unlearning techniques will also be explored to ensure privacy. 3. BRIEF
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appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical spirit in the evaluation of the research process and the
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OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question
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the knowledge of the state of the art in deep learning for human pose detection; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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TRAINING: - extend the knowledge of the state of the art in computer vision and machine learning for cancer characterization; - identify and select the appropriate methods for the study in question
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English language.; Training in sustainable development challenges. Minimum requirements: Minimum grade of 13 (in 20) in Decision Methods. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and