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, improving prediction of evolutionary trends, and integrating multiple data types for enhanced surveillance. Gaining advanced training in the use of bioinformatics platforms, phylogenetic and phylodynamic
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to gain practical experience implementing advanced bioinformatics and computational genomics tools in a unique collaborative setting and to establish a deeper understanding of precision medicine. In
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The Department of Physiology at the University of Arizona College of Medicine-Tucson seeks to hire multiple Postdocs to conduct research in the laboratory of Dr. Qiu. The primary focus of the research
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functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams
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/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics
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enrich the future. Responsibilities* The Bioinformatician-Computational Biologist Associate will provide essential technical, computational, and administrative support for multiple research projects in
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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biology, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Working knowledge of laboratory techniques in molecular biology, cell biology
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data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master’s Degree in data science, statistics, bioinformatics, analytics, or similar field and one year
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, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Experience in organoids development, next generation sequencing (NGS)-based, single cell