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frontiers in oenology, central to the development and management of sustainable oenological practices. This project aims to develop predictive models of longevity and shelf-life based on easily acquired
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the integrative analysis of immunological, clinical, and omics data derived from clinical studies, with the goal of generating predictive models of vaccine-induced immune responses. The project requires expertise
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to simulate seismic hazard scenarios. The objective is to improve the predictive performance of existing models, addressing both non-permanent shaking effects and permanent coseismic phenomena. Innovation lies
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of mold free shelf-life predictive models, determining the number of variables as well that need to be recorded to be able to train the model; (ii) design and development of a model to predict mold growth
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settings. The ultimate goal is to enable early, systematic, and robust screening of children at risk of neurodevelopmental disorders. Deep learning models typically produce point predictions, whose
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structure prediction. Working at the intersection of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow
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machine learning pipelines may embed differentiable physical models, and ii) the learning process may be informed by constraining the predicted variable to obey physical laws; we can see it as physics
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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. Investigating epigenetic regulation (DNA methylation, histone modifications) in stem cell fate decisions, reprogramming, and disease modeling using AI predictive tools. Combining computational virtual cell
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relevant to TCR prediction, including machine learning, molecular docking, and related modelling strategies. Experience in systematic literature review and the integration of computational findings with