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, fellows and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: • A Doctorate Degree (PhD, which is completed within the last 3
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on a weekly basis Travel, typically once a year, to present results at conferences Generate first-author publications in peer-reviewed journals reporting novel model elements Document and share open
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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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to the role of transcription factor mediated networks to direct the fate of stem and iPS cells to a mesodermal fate (i.e. cardiac, endothelial, skeletal muscle); and conducting research in the areas
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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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-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
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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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of the project. Draft sponsor reports to detail updated activity and sponsor required elements. Qualifications Required qualifications: Applicants must possess a recent MD degree. Experience with data collection
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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