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Field
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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nanometers to tissues, to regulate collective cellular behavior. Mechanobiology seeks to understand how cells, tissues, and organoids perceive, process, and remodel mechanical signals, and how these processes
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congenital human disorders, potentially leading to the development of novel therapeutics for related human diseases. For more information about the Tang Lab can be found through: https://med.virginia.edu/bmg
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to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
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, siRNA technology, qPCR, FACS analysis, confocal imaging, histology, immunohistochemistry, immunofluorescence, ELISA, Western blots, and other protein chemistry techniques. The ideal candidate will be
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postdoc rules). - Strong experience in in vivo rodent experiments, with competence in at least one of: Stereotaxic surgery and viral/vector delivery, in vivo imaging (miniscope, 2P), optogenetics