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, social-health, and qualitative data related to extreme marginalization; development and testing of statistical and machine learning models to analyze vulnerability factors and individual trajectories
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medical/clinical history data required for the study. Collaborative Activities: internal synergy (UNIMORE) with the Units of Obstetrics-Gynecology, Neonatology, and Pediatrics for patient recruitment
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educational units in modern cosmology for secondary schools, grounded in the analysis of observational data, and their integration within a digital platform. Where to apply Website https://www.unimore.it/it
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methodologies will be validated against experimental data and used to identify the physical mechanisms responsible for the observed behavior. Where to apply Website https://www.unimore.it/it
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identify pathways involved in the pathogenesis of the disease. The genomic analysis will be combined with clinical, histological, and MRI data. This approach is essential for the development of personalized
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, positions, trajectories and speeds; documenting algorithms through pseudocode and functional specifications; prototyping and data analysis; testing risk maps in simulated scenarios; and supporting