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observables in both systems. Anderson, P.W. 1972. More is di1erent. Science 177:393-396. Eberl, G. 2026. An elementary model of homeostasis and immunity that generates symbiosis. bioRxiv https://doi.org
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in collagen, the mechanics of earthquakes, fracture of soft materials, and modeling failure in multiphysical processes such as corrosion-driven degradation of concrete. What unites these efforts is a
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: Why work at Villanova?Join a mission-driven organization. Since Villanova University’s founding in 1842, we have been inspired by the values of truth, unity, and love, and are a community dedicated to
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scientific-programming skills, practical experience of computational model development, and an interest in applying machine-learning or data-driven methods to physical systems. Experience of QTFs, BEM software
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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skills with the ability to bridge the gap between theoretical models and experimental results. Excellent problem-solving abilities and a methodical, data-driven approach to research. Ability to work
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research uses both theory-driven models of cognition and neural activities and data-driven predictive modeling for precision medicine. In addition to our core research questions and mission, the unit will
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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for finance. Deploying the agentic economic world models and the transformer architecture for AI-driven financial econometric tasks such as covariance matrix estimation and time-series forecasting
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include physics-informed machine learning, digital twins for turbines and reactors, AI-driven design of energy hardware, predictive maintenance of energy infrastructure, and data-driven modeling of fluid