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Field
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3D X-ray inspection techniques for industrial quality control. The project is foundational in nature, while at the same time exploring applications in collaboration with industry partners. The main
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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of new data-driven 3D X-ray inspection techniques for industrial quality control. The project is foundational in nature, while at the same time exploring applications in collaboration with industry
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the opportunity to work at the interface of developmental biology, reproductive endocrinology, and cutting-edge spatial and 3D imaging technologies, within a collaborative, well-resourced research environment in
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interaction, geo-information science, or a related field, with experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial
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by a more experienced theoretical postdoc. In the second phase of the project, work will move towards current-driven dynamics of the nanosized textures, the exploration of topological excitations, and
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. Current BEP risk assessments weigh uncertainties conservatively and simplify the interactions between subsurface heterogeneity, 3D groundwater flow and BEP. To make risk assessments of BEP more realistic it
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has a dedicated computational support team with specialized knowledge of bioinformatics, (geo)database management and scientific programming. IBED also works with non-academic partners to deliver
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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why the project interests you. References: Kong et al. (2018) 3D-printed gastric resident electronics. Advanced Materials Technologies 4, 1800490. Bettinger (2018) Advances in materials and structures