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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, drug discovery and behavioral analysis. Applies genetic mouse models. Conducts experiments, analysis, preparation
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biochemical, cell-based, immunologic, imaging, and/or computational assays as appropriate to project goals, including assay-development and drug-discovery workflows. Analyzes research data, summarizes results
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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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, imaging-probe chemistry, or diagnostic/point-of-care technology development. Experience with reagent formulation, stability testing, lyophilization, or development of assays for field or resource-limited
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learned to support reproducibility and future research activities. Support the integration of research outcomes into prototype systems, operational demonstrations, or technology transition activities
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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vivo EEG techniques in experimental models Immunohistochemistry experience with confocal imaging and 3-dimensional analysis of morphology of neurons and/or glia. First author publications. Experience
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, neural circuit analysis, molecular biology, imaging, or biochemistry techniques. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including