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image and video processing algorithms Developing and adapting machine learning models Integrating and deploying algorithms onto industrial hardware Evaluating performance in realistic scenarios and
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, aquarium, imaging, and omics facilities. Project description: Among marine invertebrates, many have formed mutualistic symbioses with photosynthetic partners, such as algae. In this relationship, the animal
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hardware, quantum communications, enhanced sensing & imaging and new platforms to investigate fundamental quantum physics. The Research Centre consists of over 100 academics, researchers, staff and students
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
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examinations to ensure a productive learning encounter between students and patients, whilst maintaining patient safety, dignity and comfort. Ensure effective operation of radiography and image processing
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: Designing and implementing scalable, automated data pipelines for processing and standardising complex, multi-modal health datasets. Building robust data infrastructure to ensure interoperability and high
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of University of Bristol's SAP Lab (Soil Animal Plant interactions Lab), led by Dr Hannah Griffiths. The aim of RECONNECT is to build the first complete picture of how contrasting reforestation