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-seq, GRO-seq, and RNA-seq. CRISPR genetic engineering. Rapid protein degradation using Degron system. Bioinformatics. Cardiac functional analyses. Mouse genetics. Lentivirus transduction. Cell culture
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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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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
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process, please visit http://tiny.cc/InterfolioHelp . The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation
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applicants with expertise in neuropathologic analysis, tissue processing workflows, quality assurance procedures, and integration of neuropathologic data with other data streams. Publication record and
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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment
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of Nondiscrimination . Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email equalopportunity@uchicago.edu with their request. Apply Now The University
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Department. By performing these duties, the RA works with the PI, department, sponsor, and institution to support and provide guidance on the administration of the compliance, financial, personnel and other
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for collection, organization, analysis, and display of scientific or geographic data. Build robust end-to-end data processing pipelines, including data cleaning, feature engineering, and management for multimodal