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focused on advanced structural integrity, intelligent diagnostics, and predictive maintenance of engineering systems. The Mechanics of Intelligent Structures Department operates at the interface
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control and prediction of degradation kinetics in physiological environments remain major scientific challenges. This PhD project aims to establish fundamental and quantitative understanding of dissolution
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. Department of Cybernetics https://cmp.felk.cvut.cz/~svoboda/ Short description Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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an integrated framework for co-design and adaptive operation of electrical networks. DynConGrid develops real-time Model Predictive Control (MPC) for congestion management by reconfiguring topology, curtailing
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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settings. The ultimate goal is to enable early, systematic, and robust screening of children at risk of neurodevelopmental disorders. Deep learning models typically produce point predictions, whose
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. Preferred Qualifications Experience in development of predictive video display systems Experience in teleoperation and/or control of autonomous vehicles Experience in working with sensor systems such as GNSS
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drug residence time, creating a high burden for patients and clinics. We thus aim to develop a minimally invasive, injectable biomaterial platform designed to enable predictable, long-term ocular