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and create sprint plans. Contributing to the improvement of service design, by providing feedback and insights based on user interactions and project experiences. Maintaining and optimizing JIRA board
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metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to mitigate for the effect of sub-optimal and variable feedstock properties and
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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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Nonlinear System Analysis Using Convex Optimization
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of hydrogen burning operations, and the reduction of NOx emissions due to oxyfuels. Research Objectives: 1. Fuel Switch. The research will focus on identifying the optimal methods for switching from
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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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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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, optimizes power output, and ensures long structural life. Turbine rotational speed and the generator speed are two key areas that you must control for power limitation and optimization. This project will
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has been used on large scale biogas plants but the optimal operation has not been fully investigated. Existing validated models will be used to design the process conditions to give optimal conversion
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stage and then propagate due to fatigue which poses a serious hazard. A compromise between specific strength and safety of the composite structures is crucial for an optimal design. Different composite