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related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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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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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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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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motion capture systems and wearable sensors Engage with large-scale, longitudinal analyses of biomechanical data following limb trauma and amputation in the military Participate in efforts to develop novel
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Health Agency (DHA) Public Health access and interact with critical data. By leveraging the power of large language models (LLMs), this system will translate user queries into executable code, eliminating
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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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. This project will focus primarily on the impact of large false data injection attacks (FDIA) on the physical layer operation of a maritime power electronics system. You will participate in validation and
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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