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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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participate in the bioinformatic analysis of host and pathogen genomic data, primarily focusing on evolutionary, population genetics, and phylogenetic analyses; e) Present and disseminate the project's results
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction