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will be conducted primarily at the UHF of 10.5 Tesla (10.5T) with advanced capabilities (including 16-channel parallel transmit (pTx), 128-channel receive, and high-performance gradient coils
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qualifications: Experience with high-strain-rate experimental techniques. Proficiency in numerical modeling (e.g., Abaqus, LS-DYNA, or similar). About the Department The Department of Aerospace Engineering and
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. The Junge lab studies neurovascular signaling and integrates mouse genetics, molecular and protein- biochemical methods, cell biology, and various -omics methods. This position is considered an "essential
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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of scientific research. Provide support to laboratory members and collaborators regarding study design, fixation methods, orientation and embedding methods, and special stains appropriate to the goals
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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against target transport proteins. • Use cryo-electron microscopy (cryo-EM) and X-ray crystallography. • Conduct biochemical experiments. • Analyze research methods and collect information and
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development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling psychology, school psychology, and special
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-cell and omics approaches, our methods allow for in-depth exploration of intracellular signaling networks and physical interaction networks in health and diseases. Using these methods, we aim
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. conducts literature searches for methods and procedures specified by the principal investigator; plans and develops assays to evaluate experimental methods and techniques. (15%)- Manage research results and