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spectra of other stars and, hence, to investigate the solar-stellar connection for the corona. The project involves the analysis of archival solar imaging and spectroscopic X-ray data. The project will be
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of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially in psychiatry research will be preferred. The appointee will work
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Python and/or R. Demonstrated experience in the analysis of large imaging and/or omics datasets. Strong interest in laboratory automation and in making experiments scalable, traceable and reproducible
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 15 hours ago
-registered multiplex immunofluorescence (mIF) and H&E whole-slide images, all linked to comprehensive clinical annotations. This is complemented with mechanistic mouse models to functionally establish immune
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, and/or surgical procedures. Data analysis and quantitative methods using R, Python, MATLAB, or similar platforms. Miniscope imaging acquisition and analysis. Ex vivo imaging of nervous system tissues
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microscopy, or scientific programming for data acquisition, instrument control, and image analysis using LabVIEW, MATLAB, or related platforms. Candidates must have at least one first-author research article
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therapy studies in small and large surgical animal disease models. Acquires and analyzes physiological data relevant to the model system. Performs tissue harvest and molecular/imaging analysis (immunoblot
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quantitative regime maps for spreading, sticking, rebound, freezing, peeling, and fragmentation. Using existing image-analysis tools and newly developed workflows, you will quantify droplet deformation, contact
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experience in radio data analysis, optical/IR spectroscopy, space-based imaging analysis (optical/X-rays), and other time-domain science are encouraged to apply. Resources include programs with HST, Chandra
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 17 hours ago
prediction with crop growth modeling. Familiarity with hyperspectral imaging, lidar, thermal imaging, or other sensor-based phenotyping approaches would be advantageous, as would experience with image analysis