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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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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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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, is seeking a Quantum Systems Modeling & AI Engineer or Academic Research
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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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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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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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. Duties SciLifeLab is now recruiting Data Engineers to integrate AI within SciLifeLab’s ecosystem of data and IT services for data-driven research. The role involves developing and maintaining systems and
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, vol. 167, p. 115644, Mar. 2025. https://doi.org/10.1016/j.microrel.2025.115644 [2] A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
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for an Active Ankle Foot Orthosis", Control Engineering Practice, vol. 169, 2026, 106757, doi: https://doi.org/10.1016/j.conengprac.2026.106757 . [4] O. Bey, Y. Amirat, S. Mohammed, "Adaptive Model-Free Control
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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