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Field
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Alamos National Laboratory Los Alamos, New Mexico Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. Our
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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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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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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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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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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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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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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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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. 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