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dataset for the neural networks. A PINN model is developed for the potential flow model to obtain up to second-order nonlinear solutions for water wave interactions with marine structures. The developed
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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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information processing in event-driven sensing. Information Photonics is widely regarded as the key enabling technology of the 21st century and its application and use in many scientific and industrial fields
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of fluid mud. The project combines mathematical model development, nonlinear dynamical systems analysis, turbulence modelling, and environmental fluid mechanics. The successful candidate will contribute
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Max Born Institute for Nonlinear Optics and Short Pulse
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
31 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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27 Jul 2026 Job Information Organisation/Company IDAEA-CSIC Research Field Physics » Surface physics Physics » Computational physics Engineering » Computer engineering Researcher Profile First Stage
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, future electricity prices, reservoir levels, cascade constraints, and the nonlinear relationship between water release and electricity production. Improving such decisions is essential for efficient
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differential equations (PDEs). Full-waveform inversion is a powerful approach to such problems, but its practical use is limited by the strong nonlinearity of the inverse problem and by the computational cost