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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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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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Organization U.S. Department of Energy (DOE) Reference Code 2026-NNSA-MSIIP How to Apply Click on Apply below to start your application. Application Deadline 10/26/2025 11:59:00 PM Eastern Time Zone
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that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368611 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities. Diversity code CWI encourages a diverse workforce
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for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Short Research Description: The solar astrophysics group is seeking a postdoctoral researcher to
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/Python coding experience with proficiency in RStudio, RMarkdown, and common Bioconductor packages. Computing (Advanced): Experience with Linux servers and computing cluster. Communication (Proficient
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of modern collaborative coding practices Demonstrated experience with the application of multiphysics modeling to model complex physical phenomena Strong interpersonal, written, and oral communication skills