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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
contribute to additional proposal efforts, thereby strengthening UNC Charlotte’s ability to attract external funding. The employee’s principal research responsibilities will be coding in Python and other
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2025-0016 How to Apply Click on Apply at the bottom of the opportunity to start your application. Application Deadline 7/28/2026 3
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on machine learning Experience in time-series data analysis Proficient in coding languages, such as C, C++, Fortran, and Python Strong publication record Entry level candidates are welcome to apply The College
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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to study Long Non-Coding RNAs (lncRNAs) in Pluripotency and Differentiation. LncRNAs are an exciting class of of RNA molecules among which very few have thus far been functionally characterized in depth. We
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writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features such as time-domain and Virtual Observatory functionality. Collaborate with international teams
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or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity
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using large language models, disease endpoint coding initiatives, and creation of common data model (CDM). He/she will also be expected to support/lead high-quality research in chronic disease
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication