Postdoc in Practical AI-based Reconstruction for High-throughput CT of Natural History Samples
Develop and validate advanced image reconstruction algorithms for a robotic CT system used to digitize natural history specimens. Focus on creating high-quality 3D volumetric reconstructions from sparse, noisy CT data using AI, optimization, and classical methods. Contribute to open-source software and publish research in collaboration with interdisciplinary teams in computational imaging, physics, and natural history.