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models of regulation and dynamics . Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying
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World models are becoming an important direction in artificial intelligence and robotics. Instead of responding only to what is currently observed, an intelligent agent can use an internal model
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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of the model are coherent with real-world observations. For that purpose, we are currently developing a data pipeline, copan:eval . We are looking for a student assistant as a developer for scientific software
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the interplay between quantum mechanics and gravity in the low-energy regime, with particular emphasis on theoretical and phenomenological models in which gravity is described as a quantum, semiclassical, or
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). Model Development: Develop analytical drawdown trajectory models based on classic pumping well theory and coupled groundwater flow/solute transport models using software such as SEAWAT or COMSOL. Field
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experimental collaboration. Working alongside our partners at Imperial College London, you will integrate your mathematical models and computational results with their complementary experimental wind-tunnel and
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow