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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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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
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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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is part of a broader research initiative encompassing fundamental studies of nonlinear quantum light–matter interactions leading to the realization of quantum photonic neural networks. The successful
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relevant in the foreseeable future. In the practice, this implies ensuring that open-source solvers, developed in the academia for both solid and fluid dynamics, are able to use as an input domain any CAD
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that are currently represented in the department (climate and atmospheric science, data science, dynamical systems, financial mathematics, mathematical biology, mathematical methods, nonlinear waves, numerical