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Field
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of the role will include but may not be limited to the following: • Neurophysiology & Imaging: Perform in vivo electrophysiology and optical recordings. • Animal Behavior: Design and conduct behavioral
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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proteins to specific locations on the genome. The project involves grid preparation and screening, data collection and image processing using the Emory cryoEM core and our lab’s cluster (200 TB and 8 GPU
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 34 minutes ago
scales and biomes, and to better integrate tiered measurement systems with new multi-spectral thermal imaging missions, we are looking for a post-doctoral candidate with expertise in plant ecophysiology
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| Radiology Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for women’s imaging. The ideal candidate
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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strongly interdisciplinary. Specifically, our star technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging technique for interrogating electrochemical processes
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screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing
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EV in vivo tracking studies, spatial transcriptomics, imaging mass-cytometry, micro-CT imaging and experimental fetal lung models to address key questions in lung development and repair. This position
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integration of various biologically-derived signals, subject imaging, historic databases, and literature data into multibody dynamic, finite element, and hybrid modeling platforms. Additionally, the post-doc