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explored through touch. The RTD is the blind person's equivalent of the computer visual display. The second is genAI-powered conversational agents. These enable the blind user to control the RTD and obtain
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processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
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by extraordinary ideas - and the people who discover them The Opportunity As a Lecturer (Level B) or Senior Lecturer (Level C) in Radiography, you will help shape the next generation of medical imaging
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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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testing and assessment of device-assisted aerosol delivery under clinically relevant operating conditions. Data processing, image analysis, uncertainty assessment and experimental interpretation using
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advice and access to cutting-edge equipment and technologies in optical and electron microscopy, flow cytometry, histology and image analysis. A full-time position is now available to support the flow
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career opportunity You will lead experimental embryology and skin biology projects that manipulate avian and vertebrate developmental programs. You will apply advanced imaging, genome editing and
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skin biology projects that manipulate avian and vertebrate developmental programs. You will apply advanced imaging, genome editing and functional genomics to reveal how genes sculpt morphology. You will
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one