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components to build scalable digital twins. • Generative AI: Application of Large Language Models (LLMs) to generate synthetic data for digital twins and their role in supporting cyber-physical systems
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. You will investigate and apply advanced data mining techniques, statistical modeling, and computational tools to identify patterns, gaps, and trends across large datasets relevant to cardiac safety
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, including the Far-Infrared Probe concept, PRIMA. We particularly encourage applicants with interests in processing and analysis of large data sets, development of scientific software, data pipelines, applied
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, including topic modeling, named entity recognition, and text-data analysis. Learn to apply large language models to real-world environmental health questions and public health challenges. Participate in
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methods to clean large line-level datasets, append and validate geospatial data, and create impactful visualizations, based on program needs and resources Describe knowledge gaps between theoretical and
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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to explore the use of Large Language Models (LLMs) to enhance medical decision
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
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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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watershed systems. Time spent with CHL provides opportunities to observe how multidisciplinary teams explore hydrodynamic processes using large-scale physical facilities, advanced computational models, and