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recording. Your results will contribute to the UK’s growing expertise in terahertz systems, with opportunities to collaborate through the UK THz Systems Network. You will work across the Departments
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international research networks. Training The researcher will gain interdisciplinary training in microbiology, marine ecology, plant pathology, molecular biology and restoration science, with a strong emphasis on
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. Overview This project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The aim of the PINZ CDT is to train the next generation of chemical engineers and chemists
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From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repectitive, or chronically understaffed. To be truly useful
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areas, including generative modelling (e.g. diffusion models, flow matching, self-supervised and autoregressive approaches), causal machine learning, graph neural networks, dynamical systems modelling
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excellent’ (3*) while 90% of its research has been classified as having ‘outstanding’ (4*) or ‘very considerable’ (3*) impact. The Centre for Engineering Research and the Network and Security Research Centre
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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https://www.sems.qmul.ac.uk/research/studentships/674/net-zero-natural-resource-energy-and-time-efficient-manufacturing/The PhD work will benefit from access to unique facilities including
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Mapping and Embodied Listening for Long-Term Public Engagement with Anthropogenic Marine Noise Exploring Techno-Spiritual Experiences for Place-Based Interaction Networks of Play: Community Building, Tools
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development through training courses and participation in working groups and networks. We also encourage our staff to seek mentoring outside their direct line management. Mentoring, both via formal and informal