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Field
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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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Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society. Job Summary Michigan Medicine's Radiology 3D Imaging Lab is
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project will be to better represent these processes in a global 3D model, to test resulting simulations against airborne, surface, and satellite observations, and finally, to investigate how changing NOx
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, Node.js, Django); (b) familiarity with building or integrating APIs; (c) experience with 3D engines (Unity or Godot) for interactive environments; (d) knowledge in multi-agent AI frameworks (e.g
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the scope of these missions, the candidate will be expected to: - Produce granular samples bonded by a solidified foam, using different types of binders and grains. - Implement 3D imaging techniques (X-ray
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monolayer and 3D cell culture, analysis of DNA damage repair and the replication stress response by microscopy (of foci and fibers), protein biochemistry (immunoprecipitation and western blotting), drug dose
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Laboratory. You will be responsible for: Advancing numerical modelling methodologies for 3D woven composites Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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, microscopy, and molecular analysis. Some experiments may require careful timing, serial sample collection, or occasional scheduling flexibility. 40% — Human cell culture, co-culture systems, and 3D skin model
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Storyboard Pro, some 3D modelling and games engine experience. They will feel confident in setting up, maintaining and supporting students with the usage or rostrum cameras. They will be highly motivated by
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology