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analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
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. Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision conferences/journals
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disciplines, including human-robot interaction, robot learning, soft robotics, computer vision, and agricultural robotics. About the PhD project: We are looking for a highly motivated and talented PhD research
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and human iPSCs and 3D-organoids, genetic/epigenetic modification, behavioral neuroscience and electrophysiology. The Zhu lab is within the Department of Neurodegenerative Science and affiliated with
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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. The successful candidate will work on research projects related to the identification of locations and shapes of scattering objects, such as voids or cracks, within 3D mechanical, civil, or aerospace structures
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, focused on advancing our understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to develop clinically relevant immune regeneration strategies within
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, interdisciplinary team comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors
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