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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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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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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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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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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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) into a long-term national facility. About the opportunity Develop and enhance CARTA software by writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features
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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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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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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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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science