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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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Background Network Rail operates several telecom networks which provide connectivity for various signalling systems. Therefore, the performance of telecoms assets is integral to how the railway system operates
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based on combustion engines, which plays a crucial role for sustainable development and Net Zero. Power electronics converters is a key enabler for vehicle on-board electrical power conversion. Therefore
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and communication skills. Funding Self-funded/partially funded Please contact the supervisor for more information or explore our funding finder . Cranfield Doctoral Network Research students
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, commensurate with the post grade and remit Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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mobility demands motors with higher efficiency, reduced lifecycle impact, and compatibility with evolving drivetrain architectures, there is a clear need for new machine concepts that align with Net Zero
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language proficiency (IELTS overall minimum score of 6.5). Also, the candidate is expected to: Have excellent analytical, reporting and communication skills Be self-motivated, independent and team player Be genuine
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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Applications are invited for the position of Research Associate in Community Engagement at the Centre for Cancer Genetic Epidemiology, working closely with Professor Nora Pashayan. The successful