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models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical
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extracellular vehicle or exosome therapy, c) in vivo electrophysiology, signal processing, or brain imaging. Other lab experience is helpful but not required: patch-clamp, brain slice cultures, optogenetics, and
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
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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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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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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