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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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training costs are exploding, largely due to energy and bandwidth inefficiencies in current electrical datacenters. Our group is developing a novel Optical Circuit Switched (OCS) architecture
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optical technologies to study mechanisms of cell surface signaling, cancer neuroscience, and protein engineering, integrating molecular biology, cell biology, and systems neuroscience approaches. To support