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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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activities relating to 3D/4D X-ray micro-tomography image quantification using machine learning tools. The employment will be at the Department of Solid Mechanics at Lund University and the work will be
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, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM
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/3D imaging, mouse behavior, stem cell, and biomaterial approaches. For more information on research projects in the lab, please refer to our recent publications (Cell Stem Cell., 2023, PMID: 37863055
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their electrical charge, size and 3D conformation with unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The experimental approaches
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their electrical charge, size and 3D conformation with unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The experimental approaches
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-atmosphere version of the general circulation model ICON, i.e. UA-ICON, a state-of-the-art high-resolution model of the neutral atmosphere with a model top at 250 km height. UA-ICON includes a deep- atmosphere
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify
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characterization of 3D structures using microscopic and tomographic techniques. You will also work with architects, designers, and engineers to develop biomimetic models of fiber-reinforced structures in order to
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/microglia-based 3D models recapitulating neural-microglia interactions, using biomaterials and (micro)tissue engineering approaches. The innovative aspect of the project will be in developing new analysis