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position focused on the development of 3D LPT techniques for industrial applications. Job description In this Postdoc position, you will focus on the development of large-scale three-dimensional Lagrangian
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key challenges such as tilt series alignment and 3D template matching, as well as broader contributions to cryo-ET data analysis, including particle detection and the quantitative interpretation
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of VWF are associated with elevated risk of thrombosis. The composition and 3D architecture of WPB during fusion and secretion of VWF have thus far remained unclear. This is mainly because traditional
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to imagine novel task configurations and learn robust manipulation policies from just a few real demonstrations. You will work at the intersection of 3D computer vision, physical simulation, and robot learning
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the nacre in seashells, by combining them with soft organic polymers. This project proposes a method to mimic this by using 3D-printed concrete as a scaffold to guide the growth of a chitinous fungal network