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. Development of technologies to profile PK activities that are dysregulated in inflammatory pathologies could provide a solid basis for development of predictive diagnostics, subsequently guiding towards
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally
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the mechanisms driving masting and its evolutionary causes is essential for predicting how climate change will impact fruiting dynamics and forest regeneration. Oaks are a key group in this regard: their masting
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be