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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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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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candidate to fill one Post-Doctoral Associate position. Work in the DDLL includes a number of projects, from a large-scale efficacy trial of educational technology focusing on literacy to secondary analysis
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including engineering of mammalian cell genomes using CRISPR/Cas9 editing, cell cycle synchrony experiments, analysis of chromosome segregation, immunostaining, live cell microscopy, and quantitative image
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experiments pertaining 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
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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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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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, molecular cloning, sequencing analysis, CRISPR, base editing, RNA extraction, RNA Seq, RT-PCR, gene cloning, cell line characterization, western blotting, E. coli transformations, plasmid preparations, and
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-NGS analysis Biophysical characterization of RNAs (40%) -Characterize functional nucleic acid binding to target ligands -Characterize functional behavior (fluorescence, catalysis) of nucleic acids
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cognition, and computational psychiatry. We work across levels of analysis—from single neurons to human behavior—using both rodent and human models. This position will focus primarily on rodent research