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Field
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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Medical Center (UNMC), a nationally recognized institution ranked Tier 1 in Primary Care and Tier 2 in Research, is seeking an outstanding candidate for a Postdoctoral Research Associate position
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four
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radiation in fields such as ultrafast spectroscopy, imaging, materials science and semiconductor research. HHG Beamline User Operation Actively participate in the preparation and execution of user experiments
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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. Posting Summary Rutgers, The State University of New Jersey is seeking a Postdoctoral Associate for the Center for Advanced Human Brain Imaging Research & Rutgers-Princeton Center for Computational
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning