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to translate molecular and genetic insights from FastBio into a predictive framework for cardiovascular disease prevention, with a particular focus on predicting individual responses in LDL cholesterol following
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learning techniques. The work further involves contributing to the development of methods for assessing climate risk and vulnerability at building level, supporting predictive urban planning; the simulation
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genetic perturbations into predictive models of tissue self-organization and repair. The project offers comprehensive interdisciplinary training in computational developmental biology and the opportunity
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