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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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for the U.S. energy future. Resource estimation methods to determine tonnage and grade of these unconventional feedstocks is still evolving, and requires refined approaches that leverage probabilistic modeling
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for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets
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reduction techniques and numerical methods for subsurface and surface flow processes. You will gain experience with forward hydrodynamic models developed in the Coastal Hydraulics Laboratory and contribute
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and prepare for readiness during operational tasks. The team is further exploring novel AI method developments, including applied mathematical and machine learning solutions for real-time use. Why
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surveys and other anecdotal collection methods Combine empirical evidence gathered from web/social media analytics Study data associated with content Collaborate with other team members to create multimedia
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month(s). Minimum Overall GPA: 3.00 Discipline(s): Computer, Information, and Data Sciences (4 ) Engineering (18 ) Age: Must be 18 years of age ORISE GO The ORISE GO mobile app helps you stay engaged
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production using state-of-the-art data science methods, leading to improved research in forestry and economics. Additionally, the fellow will be invited to participate in the broader research goals using
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-term EEG recording Preparing routine drug solutions Analyzing in-depth EEG data Interpreting immunohistochemically prepared slides for neuroinflammatory markers Describing and documenting methods and
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conditions they are likely to be useful. For this reason, we have assembled a research team to explore new methods and new data that will improve foundational fuel structure and flammability information