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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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controlled trial, including participant recruitment and coordination of laboratory assessments. Focus on the musculoskeletal and energy metabolismresearch outcomes, using these to produce original research
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electronic converters are required to connect renewable energy sources and energy storage systems to the power network. These converters employ sophisticated control algorithms that must simultaneously achieve
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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turbulence, and use this knowledge to identify control strategies through deep reinforcement learning. The methods developed in this project will directly contribute to designing novel porous media
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Electrical Capacitance Tomography (ECT) to study the combustion processes of hybrid propellant propulsion systems. To perform inflight tests using the ECT as hardware in the loop to control O/F ratios in a
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This PhD project focuses on the development of next-generation autonomous train technologies that combine energy-efficient control with advanced environmental perception. You will explore how real
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: Understanding and Targeting Cell Cycle Control in Cancer BRIEF DESCRIPTION OF THE PROJECT: Cells must duplicate their DNA, grow, and repair DNA damage before committing to mitosis — a critical decision point that
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of Glasgow, or University of Oxford) to undertake your PhD research. About this Project Project Title:Design, Fabrication, and Control of a Soft Robotic Arm for a Legged Inspection Robot Supervisors:Prof
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In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty. In the first chapter, an optimal