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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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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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15 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Department Department of Control Engineering Research Field Computer science » Modelling tools Researcher
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 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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unit dedicated to advancing the understanding, monitoring, and predictive modelling of modern engineering structures. Research within the department on Structural Health Monitoring (SHM), non-destructive
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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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at Tilburg University, in collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, invites applications for a fully funded postdoctoral position focusing on predictive modelling
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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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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