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degree (or near completion) in Electrical Engineering, Computer Science, or a closely related subject. Research experience in wireless communications and deep learning is essential. The project will also
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well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio-frequency sensing and data transfer (ISAC) are integrated
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manifold learning and Riemannian optimisation to leverage the underlying manifold structure for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend
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opportunities to network with highly skilled AI experts, clinicians and biologists. You will also have the opportunity to co-mentor undergraduate, Masters and/or PhD students. You are further expected to publish
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technologies for in-home health monitoring. This will include data collection from volunteers and/or patients. The project will explore data capture with the different sensors including motion capture, radar
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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and UK) and industry events, plus an end-of-project symposium. Training and networks at BU: access to research methods seminars, the Doctoral College Researcher Development Programme and health and
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Process; Sustainable and Resilient (Bio) Chemistry; Materials Discovery; Theory, Computational and Data-Led Chemistry; Soft Matter, Polymers and Interfaces; Chemical Photonics, Spectroscopy and Sensors
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transitions, particularly in the governance of critical minerals. The project responds to deep contestations over the meaning and purpose of justice in the shift to net zero emissions, which have led to policy