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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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the validity of the relevant literature and its contribution to the development of own field. Determine novel research objectives as experiments progress and initiate and implement relevant programme of research
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in biodiversity data science, especially in the statistical computing environment R. Opportunities also exist to harvest the power of the new technologies revolutionising the study of marine
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for successful candidates to join are listed below. BRC Theme: Cardiovascular / Imaging & Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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damage. You will have an MSc (or equivalent qualification) in a relevant subject and be competent in a variety of molecular biology techniques. You should have a keen interest in research focussed on host
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Development of Digital Twin Models for Real-Time Condition Monitoring of Electrical Machines in Electric Vehicle Applications
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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Intelligent Materials Health Monitoring: Utilising Machine Learning to Ensure the Long-term Stability of Perovskite Solar Cells