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Field
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Harnessing Nonlinear Dynamics: From Data-Driven Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Harnessing Nonlinear Dynamics: From Data-Driven
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group, you will become part of a vibrant research environment specialising in nonlinear and quantum fluid dynamics. You will also have the opportunity to visit partner institutions and work with leading
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vector polarisation. These will be used to: Drive and probe spin dynamics in magnetic materials; Demonstrate coherent, low-dissipation magnetic switching; Explore device concepts for THz-driven data
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Systems”: Research focuses on model reduction in linear and nonlinear dynamics, developed within a framework of mechanics, applied mathematics, and physical sciences for engineers. • “Bioengineering
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others of the following tasks: Investigate the links between nonlinear dynamics and computing metrics in micro-ring resonators and coupled ring-resonator architectures Evaluate the number and spatial
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between nonlinear dynamics and computing metrics in micro-ring resonators and coupled ring-resonator architectures Evaluate the number and spatial distribution of coupled cavities for photonic reservoir
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consist among others of the following tasks: Investigate the links between nonlinear dynamics and computing metrics in micro-ring resonators and coupled ring-resonator architectures Evaluate the number and
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twins: a new paradigm in data-based engineering and engineered data. (No. ART-2018-109564). [2] Carlberg, K., Farhat, C., Cortial, J., & Amsallem, D. (2013). The GNAT method for nonlinear model reduction
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, this challenge is considered for a particularly important class of systems, namely second-order structural dynamics systems with nonlinearities, often encountered in mechatronic and robotic applications. You will