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based knowledge of the system offers a unique opportunity to enhance the understanding, prediction, and optimization of body dynamics and their physical interactions with the environment. Low fidelity ML
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higher margin over melting and the optimization of engineered surfaces with improved heat transfer properties. You will join the Thermofluids group in the School of Mechanical, Aerospace and Civil
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the decision tree model, structure of optimal algorithms for composed tasks, complexity measures of Boolean functions, Fourier analysis of Boolean functions and communication complexity. He is also interested in
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Process-aware optimal design of polymer Additive Manufactured (3D Printed) components via hybrid layout and topology optimisation
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optimizing CO2 operating conditions to avoid ice crystal formation, you will achieve optimal cooling and machining performance of novel materials such as fibre CFRP and metallic stacks. What you’ll do You’ll
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translational biomarker development will be especially welcomed. Secure peer-reviewed competitive funding for research projects. Achieve an optimal standard of academic contribution by publishing research
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Nonlinear System Analysis Using Convex Optimization
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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. • Characterisation of cooperation amongst elements of a network in terms of robustness and optimality. • Synthesis and design of nonlinear distributed controllers. • Data-driven control in a nonlinear setting. This
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lead to increased NOx emissions to the environment, and therefore require the need for downtime and maintenance. Shape optimisation methods such as adjoint have been employed to create optimal designs in