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on quantitative genetics, systems biology and genomics, bioinformatics and computational biology. Job Summary We are looking for a self-motivated, research focused individual to join the Barreiro lab as the
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or Knowledge: ChIP-seq, ATAC-seq, GRO-seq, and RNA-seq. CRISPR genetic engineering. Rapid protein degradation using Degron system. Bioinformatics. Cardiac functional analyses. Mouse genetics. Lentivirus
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supporting professionals in information technology, data science, bioinformatics, or research. Experience with streamlining HR process and leading efforts toward continuous improvement. Workday as the HRIS
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proteomics, spatial metabolomics, 3D organotypic cultures of human tissue, spatiotemporal characterization of the immune system, and stable-isotype tracing in patients. Bioinformatic support and access to all
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resources and services to the BSD faculty. Five main services comprise the CRI's operations: applications development, bioinformatics, scientific computing, data science and AI, and clinical research data
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components of key US cross-agency data and AI for Science efforts and initiatives. We seek a candidate with specialized knowledge developing scalable and robust computer systems, working with high performance
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Qualifications Education: Ph.D. in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field. Experience: Experience in either: Large-scale genomics data analysis
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. The University of Chicago is seeking a highly qualified Senior HPC System Administrator to join the system and operation team that builds and manages RCC HPC systems and facility operations. The individual in
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The University of Chicago Academic Jobs Colorectal Surgeon #SUR188 Section of Colon and Rectal Surgery, Department of Surgery Position Type: Other Academic Appointee Salary Range: $325,000
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Statistics, Computer Science, Bioinformatics, Computational Biology, or a closely related field by start date. Experience: Coursework or project experience in multivariate statistics and/or machine learning