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Field
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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 21 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
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 12 days ago
stages onward, and the development of disease-stage-specific imaging and This position is part of the DFG Research Unit "Layers of Memory" (subproject P7), a consortium spanning Bochum, Bonn
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Computational Imaging Lab (QCI Lab) is looking for a Post-doc to conduct research combining microscopy, photonics, and advanced data analysis. The work will involve the development of a unique multiphoton
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chemogenetic (DREADD) manipulations • In vivo Ca2+ imaging (miniature microscopes and fiber photometry) in freely moving mice • Neurotransmitter biosensor imaging in freely moving mice • Behavioral paradigms
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-learning, deep-learning, chemometric, or related computational methods to imaging, spectral, sensor, process, environmental, or other complex scientific data. Strong quantitative data-analysis and scientific
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imaging workflows, and computational analysis of high-content synaptic datasets. The position sits at the intersection of technology development, translational neuroscience, and drug discovery. Job
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, mucosal and epithelial biology, host–pathogen interactions, aging, and related areas. Take responsibility for advancing assigned projects from experimental planning through data generation, analysis
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving