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Field
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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specific motifs within the glycan chains defining binding sites for critical signalling and structural molecules. Unravelling the ways in which these motifs are encoded into GAGs by their biosynthetic
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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multi-scale shape changes, applicable to biomedical, micromechanical, or optoelectronic applications. Advantages: This studentship will take place in world-leading research laboratories for additive
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materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex multi-scale shape changes, applicable to biomedical, micromechanical
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a growing field, with many applications in biomedical devices, electronics, and autonomous machines. Actuators to drive these robots utilise electronic, chemical, pressure, magnetic, or thermal
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DEPARTMENT OF HEALTH TECHNOLOGY AND INFORMATICS Research Assistant Professor in Medical Laboratory Science / Biomedical Science / Medical Imaging and Radiation Science / Medical Physics / Medical
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the extracellular matrix, as well as advancing related technologies toward biomedical applications. The successful candidate will contribute to our lab’s microscale studies on the role of extracellular
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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genetics training, is preferred. LMB has a collaborative working culture and state-of-the-art building on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public