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biology, chemistry or engineering or a related field. The ideal candidate will have experience in nonlinear dynamical systems, machine learning and multi-objective optimization techniques. Research
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model in a coupled configuration with a dynamical ice-flow model. The emulator will be constrained by physical principles and capable of producing output fields near-identical to those of a large-scale
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 1 month ago
period, potentially renewable, to allow for in-depth investigation of developmental sequence learning mechanisms. The general aim of the ANR DeepPool project is to build a dynamic neuronal model of vocal
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of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from the interactions between
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in English. Strong attention to detail and commitment to high-quality results. Preferred (most): Knowledge in reduced-order models for structural dynamics. Knowledge in nonlinear structural analysis
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in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. Benefits at UTA We are proud to offer a comprehensive
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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at the Technical University of Munich (TUM), led by Prof. Massimo Fornasier, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Nonlinear Evolutions and