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for runoff quality studies, conducting laboratory analyses, conducting statistical or numerical analyses, or conducting computer modeling/geographic information (GIS) analyses. This is a part-time, off-campus
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to facilitate barley related research projects related to development of new barley varieties adapted to the eastern United States. The successful applicant is expected to apply genomic modeling techniques
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Communities Convergence (IRCC) Lab in Arlington, Virginia. We seek candidates with a proven track record of scholarship in civil engineering and extensive experience with advanced computational modeling and
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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in mouse models. • Carry out molecular and cellular techniques, including molecular cloning, brain sectioning, cardiac perfusion, and immunohistochemistry. • Conduct tissue culture and assist in viral
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glioblastoma microenvironment. This translational study will utilize patient tissues in established pre-clinical in vitro model systems and histological tissue analyses to generate data for correlation with
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate