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Field
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working at the interface of engineering and biology. We study the hematopoietic and immune systems in vivo through development and application of novel imaging and sensing tools. For this project, we seek a
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Departments and Centers: Surg: General Surgery Postdoc Appointment Term: One year plus option for extension. Appointment Start Date: April 1, 2025 How to Submit Application Materials: dirbas@stanford.edu (link
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proposals and reports. Minimum Qualification Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural
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controlled environment, and as a function of external stimuli. This position requires high-resolution electron microscopy imaging, diffraction studies and analytical investigations of low-Z materials. Our
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University is a public research university in North Carolina. Existing faculty in the Department of Coastal Studies have expertise in Geography, Ecology, Coastal Engineering, Geology, Physical Oceanography
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. The Postdoctoral scholar will lead design, fabrication, characterization, and analysis of novel 3D nanophotonic devices for focusing and imaging. The ideal candidate would hold a doctoral degree in physical science
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engineering team to translate the models into production. The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing
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Lab ). Integrative analysis of single-cell multi-omics and spatial imaging data in cancer, immunology, organoids, etc., in the context of the Human Cell Atlas (single-cell analytics) and/or the ELLIS
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-EELS, STEM-EDS, electron diffraction, and 4D STEM, is essential. Experience with in situ gas phase TEM and low-dose imaging. Experience synthesizing polysiloxanes, processing thin polymer films, and
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing