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Field
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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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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to cutting-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging
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candidate will be expected to work onsite as of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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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
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fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop targeted, precision treatments
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therapeutic strategies to prevent and treat craniofacial birth defects, as well as stem cell-based craniofacial regenerative medicine. CCMB is located on the Health Sciences Campus of USC, which provides a
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Models: Perform microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell