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research, develop and apply state-of-the-art optimisation and machine learning methods to problems within ship design, encompassing hull, powertrain and internal designs. The successful candidate will have
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enquiries to: Johan Wahlstrom (j.wahlstrom@exeter.ac.uk) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following
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, Science and Economy, to commence on 1 January 2026 or as soon as possible thereafter. This PhD project aims to develop advanced, climate change resilient road gully grating designs that enhance efficiency
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. Developing the RPI framework is an active priority within the TESS Lab, offering collaboration opportunities with related projects. The University is a leader in research into environmental change and its
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural