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this issue, the FutureFlow project proposes to transfer concepts from software engineering—such as multi-fidelity modelling and model-switching—to hydrology. The objective is to build adaptive modelling
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18 Apr 2026 Job Information Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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work focuses on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen
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techniques with physics-based models to enable accurate damage detection, condition assessment, and lifetime prediction. Strong emphasis is placed on data-driven engineering, including signal processing
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focus on AI-driven protein design. About the position The position involves research on the development of novel enzymes for the degradation of synthetic polymers, with a particular focus on plastic
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Join our team at the Division of Molecular Bioscience, Department of Life Sciences, as Doctoral student in the Data-driven Life Science (DDLS) program! Data-driven life science (DDLS) uses data
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., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will