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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
will investigate the regulatory activity of genetic variants associated with neuropsychiatric and neurodegenerative disorders using diverse functional genomics approaches, including massively parallel
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research project in any of several areas relevant to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic
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to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic screens, biochemistry, ribosome profiling (ribo-seq
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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focus on developing CFD codes/modules/tools for the new electrochemical processes in the project, but you will have some latitude to study a variety of scientific topics chosen through mutual agreement
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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
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Research Associate, Cellular and Molecular Medicine Posting Number req26354 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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Posting Summary Logo Posting Number RTF00122PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated