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Field
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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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) at the University of Connecticut seeks a full-time Postdoctoral Research Associate to assist the director of UConn's Statistical Consulting Services (SCS). The facility is currently staffed by the director, and a
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the director of UConn’s Statistical Consulting Services (SCS). The facility is currently staffed by the director, and a number of late-career Ph.D. students, with faculty support provided by Associate Professor
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genomics, transcriptomics, proteomics, and epigenomics. Designs and develops innovative bioinformatics software and statistical tools for analyzing single-cell sequencing and spatial transcriptomics data
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regulatory agencies and assist with statistical analysis to support Quality databases for the Cardiac and Thoracic Surgery Divisions. In this role you will work with Director and Surgeons on many registries
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individually and in an integrative manner using analytic techniques that range from traditional statistics to novel statistical, machine learning and network/systems biology approaches. Initial data queries will
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, 1295 N Martin Ave, Tucson, AZ 85724 USA Position Highlights The postdoctoral researcher will work with Dr. Lifeng Lin. The research will focus on developing statistical methods for trial sequential
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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welcomes applications for a Postdoctoral Research Associate I whose research will focus on developing and implementing statistical models for animal movement under the supervision of Dr. Henry Scharf. In
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological