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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
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one of the UK’s leading tribology research centres, home to over 50 PhD students working in a highly collaborative, dynamic environment. You’ll benefit from working alongside top academics and fellow
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for cognitive and mood-related benefits and the interaction with the gut. The successful candidate will work closely with the supervisory team and key stakeholders at HTC Health to develop the specific programme
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construction of creek networks to ensure the transfer of water, sediment and nutrients around the site. However, the current approach to site design involves the use of pre-existing agricultural drainage ditches
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diagnostic tools for PD within the context of the brain-heart axis. The student will be based at the University of Surrey; this is an ideal location which promotes informal interactions among the member of
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. Informal enquiries are welcome. Funding notes: Direct funded PhD project (UK Students only) - 42 month program length. References: [1] C. Bartlett, A. Malavé, M. Letz and M. Höft, "Structured-Glass Waveguide
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triggers like abnormal electrical signals (focal triggers) and swirling patterns of electrical activity (re-entrant rotors), which interact across the heart’s inner and outer layers. Because most studies
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schedule of questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing
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(DT) communication protocols for interfacing with different types of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT