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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
focused on the classification and characterization of human and animal models tumors through the study of gene expression patterns, tumor DNA copy number changes, and DNA somatic mutations identified using
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research will involve synergetic collaborations with a multi-disciplinary team involving engine modelers, CFD experts, and computational scientists to enhance the predictive capability for next-generation
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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Vacancies Postdoctoral Researcher: High-Fidelity LES & Atmospheric Boundary Layer Modeling Key takeaways About the Project The ECOWIND project focuses on an integrated strategy to extend
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spectroscopy, especially applied to the analysis of lipids or oils. Experience in the application of chemometrics to develop predictive models Participation in competitive research projects related to the field
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Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials for electrochemical energy applications, with particular emphasis on polymer
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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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model biases, and identify sources of predictability. The project will involve; 1) rigorous interrogation of NOAA GFDL's CM4X simulation output with respect to coastal sea level variability and relevant
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prediction of combustion dynamics and emissions in next-generation gas turbine combustion systems operating with gaseous and liquid fuels. • Develop, implement, and validate CFD models for complex reacting