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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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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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• 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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-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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Develop methods for database development and management Organize, clean and score data Interpret results with regard to study goals and hypotheses Troubleshoot and problem solve data management issues as
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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
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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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Civil Service Add to My Favorite Jobs Email this Job About the Job The purpose of this position is to support vegetable crop research investigating economically viable methods to help small acreage
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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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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning