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systems. The study focuses on the fundamental design, analysis, optimisation, and investigation of nonlinear dynamics in MEMS sensors, with a particular emphasis on enhancing sensitivity through
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– the subject of this project. This PhD project is funded as part of Professor Keith Worden’s EPSRC Open Fellowship on New Ways Forward in Nonlinear Structural Dynamics. It will support the main project by
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into practical/applicable engineering solutions. This PhD project is funded as part of Professor Keith Worden’s EPSRC Open Fellowship on New Ways Forward in Nonlinear Structural Dynamics. They will support the
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational
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Identifying and validating models for complex structures featuring nonlinearity remains a problem at the cutting edge of structural dynamics, with applications ranging from civil structures
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This is a 3.5 year PhD studentship that will focus on advancing the nonlinear dynamics and statistical rigour of and methodologies for early warnings for tipping points in nonautonomous systems
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100%, Zurich, fixed-term The Nonlinear optics for Epitaxial growth of Advanced Thin films (NEAT) laboratory within the institute of Multifunctional Ferroic Materials in the Materials Department is
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality