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projections. The focus of this postdoc position is the reconstruction step, conducting research and developing suitable image reconstruction methods to produce sufficiently high-quality 3D volumetric
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reconstruction framework that goes beyond 3D reconstruction of grain morphology, enabling the extraction of local lattice orientation and elastic strain from magnified topotomography (MTT) acquisitions
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to conduct research on 3D reconstruction, with a particular focus on developing advanced 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role will involve designing and
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baselines, and access to GPUs (Yale HPC and consortium resources). Key responsibilities Lead model design, training, and evaluation for surgical video understanding and multimodal 3D/4D reconstruction. Curate
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configurations that minimize acquisition time and maximize measurement quality, (b) estimating measurement uncertainty due to camera defects, (c) accelerating 3D tomographic reconstruction from multiple 2D
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Associate to undertake the
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We are seeking a highly motivated candidate to undertake a PhD program titled " 3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition ." This exciting
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particularly interested in static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high
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3D reconstruction. Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr). Experience with template matching, sub-tomogram averaging, or particle
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understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling; multi-modal scene sensing