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on a novel method of T cell radiolabeling and imaging to get an insight into T cell penetration to solid tumors, including brain cancer. Qualifications: The ideal candidate will have extensive experience
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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technologies for structural, environmental, and infrastructure applications. The position supports research projects, prototype development, lab experiments, data analysis, and manuscript preparation
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
exquisite visual and scientific images, instrumental in advancing our understanding of our home planet and the universe around us. Our goal is to pursue the development of emerging detector technologies which
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formation of transverse liquid waves. This work will involve a combination of novel experimental approaches, including PIV, LIF, high-speed imaging, and shadowgraph. The postdoctoral fellow will be
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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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for studying heart disease and developing new therapies. We address these questions across biological scales from the subcellular to the organoid level, combining state-of-the-art imaging (electron, confocal
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system using mouse models. Techniques may include confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis. Genetic mouse models will be applied
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cancer and aging settings with CODEX multiplexed imaging. Required Qualifications at this Level Education/Training PhD Experience See job description for requirements. Skills See job description for
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trials to multi-omics explorations, imaging, biomarker development, stable-isotope tracers, and large-scale data set s and machine learning. The lab is now recruiting for a postdoctoral researcher, who