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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about
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modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes
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Vibrio biology would be preferred. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Ph.D. Certificates/Credentials/Licenses Ph.D. Computer Skills Microsoft Office Supervisory
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project are: • Developing innovative approaches that effectively convert REE/CM
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of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state-of-the-art behavioral, neurophysiological
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
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material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and validate the model by comparing the results to experimental observations. 4) Support the
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares