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/international/overseas applicants). Applicants should state “3D Computer Vision for Medical Imaging” and the research supervisor (Eleonora D’Arnese) in their application and Research Proposal document. Complete
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This project aims to establish, for the first time, a direct correlation between magnetotransport properties and the underlying magnetic microstate in 3D artificial spin-ice (ASI) lattices. Using
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing
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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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an excellent translational model for studying oogenesis and early embryogenesis (Smith et al., 2021 Reproduction and 2022 Development). The Bagnaninchi lab has developed a novel optical methodology for 3D
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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fluorescence microscopy, live cell imaging, and cell proliferation and migration assays (such as scratch assay, high throughput migration assay, 3D migration, wound contraction assay). To apply, please follow
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processing), 3D spectro-microscopy imaging for electrode optimization, and full cell assembly with operando X-ray/Neutron studies for interpreting electrochemistry. Advancing the next generation of electrode