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Field
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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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PhD Studentship: A continual learning approach for the development of robust robotic control systems
A continual learning approach for the development of robust robotic control systems This project is an exciting opportunity to undertake industrially linked research in partnership with
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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. The control systems developed will be designed to handle these complex dynamics, feeding directly into industrial SBSP and related designs, thus enabling their longer-term plans for commercial SBSP capable
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Manufacturing
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hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan
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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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their installation, and every season after installation, in both the manipulated and unmanipulated areas. This “before-after control-intervention” (BACI) design is the gold standard for evidence generation, yet rare
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investigate which local biotic and abiotic factors control the extent of LWS-related biodiversity and habitat improvements across a range of different UK river systems. Project aims and objectives Carry out a
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with