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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 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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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
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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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Organization U.S. Department of the Interior (DOI) Reference Code DOI-USGS-2025-17 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2025-0075 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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well as the implications of these motives to theories of decision-making, organizations, and public policy. At the heart of this work lies the idea that people are often motivated to hold (or avoid) specific beliefs
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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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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