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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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approaches used to support reliable pathogen detection. This project aligns with IDPB’s public health mission to develop, improve, evaluate, and apply laboratory technology to detect microbial agents
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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conservation or regenerative practices that enhance soil health, water retention, and the long-term resilience of agricultural systems. You will take part in studies evaluating irrigation technology and strategy
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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of Research (WRAIR) aims to conduct biomedical research that is responsive to U.S. Department of Defense and U.S. Army requirements. WRAIR conducts basic science, applied science, and animal and human subjects
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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part of and gain training in a collaborative, multi-disciplinary research program incorporating chemical, biochemical, and engineering analyses aimed at development of novel biobased marketable goods
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using statistical software such as SAS or Stata is preferred Stipend $6,358.00 – $7,658.00 Monthly Point of Contact Rachel Eligibility Requirements Degree: Doctoral Degree received within the last 60