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will focus on the design and implementation of advanced models for data enhancement, denoising, semantic segmentation, content-based retrieval, target detection, multitemporal analysis, and radar mapping
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segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
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comparative analysis of peripheral indexes (including galvanic skin response, heart rate variability, and eye-tracking) against traditional surveys to identify points of convergence and divergence between
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articulation differences. Instead of focusing only on speech transcription, the goal is to measure disease severity and track its progression from speech signals. A final part of the project will focus
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molecular characterize new bacteriophages targeting specific human bacteria of different microbiomes by phage enrichment from environmental samples using different bacteria as host iii) test bacteriophages
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functionalities (e.g., signal amplification, catalytic enhancement, targeted performance in complex biofluids). Exploring nanozymes’ mechanisms of action to tune catalytic properties, robustness, selectivity, and
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-level, innovative cultural heritage professionals. It offers the track Cultural Heritage and Museum Studies (CHMS). Both research- and practice-oriented courses are in the program, which aims at opening
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. More specifically, the doctoral program has four different specialization tracks: - Complex Systems and Networks (CN) - Computational Mechanics (CM) - Learning and Control (LC) - Software Quality (SQ
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, such as variations in multipath or propagation condistions and signal strength patterns. Individually, these features do not represent obstacles or targets. However, some of them may consistently predict