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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis
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platform that utilizes deep learning to analyze images of bruises. Responsibilities: Responsible for developing components of the project platform or deep learning application; Supervises a team of graduate
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Experience with analytical and imaging instrumentation (e.g., mass specs, confocal) Salary Range $60,000 annually Working Conditions. The selected applicant will conduct research in the Nielsen Lab at UT-MSI
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in human iPSC-derived neural cells and utilize wide ranging molecular technologies including mass spectrometry, single-cell RNA analysis, and imaging. The ideal candidate will also spearhead a new
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. fluorescence imaging, molecular biology, cell culture, immunohistochemical assays, circuit manipulations, mouse surgery or behavioral assays) and electrophysiological recording (in vivo extracellular recordings
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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of California Santa Barbara Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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University of California, Los Angeles Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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. Conduct imaging experiments using single molecule localization microscopy. Complete data analysis to characterize the molecular content of extracellular vesicles.