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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
or deploying research models * Familiarity with version control (e.g., Git), documentation of code and data workflows, and reproducible research practices * Experience identifying and troubleshooting data
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coding sequences (CDS) and their cognate 3’ untranslated regions (3’UTRs) are differentially expressed in development and disease. Notably, the Nanog 3’UTR functions as a long non-coding RNA to promote
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, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University's Faculty Code
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The PostDoc position will have the opportunity to work in a consortium of labs/PIs
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Postdoctoral Research Associate to functionally characterize the role of circular RNAs (circRNAs) in Alzheimer’s disease (AD). CircRNA is a new category of non-coding RNAs that result from backsplicing events
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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expertise in bioinformatics, coding languages, and statistical analysis tools. • A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and communities
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) IGDI Lab (IGDI-Lab) seeks a candidate to fill one
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368872 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and