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solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi-modal data into interpretable, scalable prediction and advising models. ICARUS
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14 Mar 2026 Job Information Organisation/Company Scuola IMT Alti Studi Lucca Research Field Computer science » Modelling tools Engineering » Control engineering Physics » Applied physics Engineering
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challenging. The objective of this PhD is to develop a predictive modeling framework that explicitly links multiscale physical mechanisms to macroscopic responses. The work will follow a multiscale and
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as predictors of plant function and community assembly --- into predictive computer models of terrestrial ecosystems, land-atmosphere interactions, and the Earth System. Field of Science: Earth Science
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 19 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual