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for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional
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for detailed information about acceptable transcripts A current resume or CV Two educational or professional recommendations You must provide contact information for at least two recommenders in your application
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to analyze and interpret large datasets, learning how to generate meaningful visual comparisons between simulated and observed data for model calibration and validation. These skills are essential
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Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers developing interactive, Large Language Model (LLM) / Natural
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projects gaining experience in image automation algorithms utilizing machine learning to enhance hemorrhagic shock resuscitation processing preparing large data sets for algorithm training learning computer
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. Our project aims to create a unified wildfire risk index that integrates observations and model data from NASA, including meteorological variables, fuel characteristics, topography, human influences
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) to develop surveillance requirements and execute risk assessment of water, air, and soil in deployment environments. The Department of Defense (DoD) is focusing on future Large Scale Combat Operations with
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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large forest resource data using R, Python, and/or GIS software Knowledge of hardwood systems, including management practices, current markets, stand dynamics, environmental change pressures, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and