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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
processes from multiple emissions sources as represented in current models, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models
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professional growth by working in a trans-disciplinary environment, with close collaborations with colleagues from multiple universities across the US, spanning multiple colleges/departments. Opportunities
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, Reno invites applicants for multiple postdoctoral fellows to conduct research in technological and scientific aspects of Wildfire Science and Engineering across the Pre-Fire, Active-Fire, and Post-Fire
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Campus Open Date Oct 29, 2024 Description We are seeking multiple (3~4) highly motivated and collaborative Postdoctoral Research Associates with demonstrated skills in one or multiple areas
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, image, transgenic mice breeding and genotyping; Transient transfection, lentiviral infection, stable line generation; Molecular cloning: Gateway, Gibson, sgRNA et al; Flow-cytometry: multiple channel FACS
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identification and prediction via software such as Python and R. Also, background in field design and statistical data analysis in the context of agriculture and applied plant pathology. Key responsibilities
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met with opportunities to connect and collaborate with uniquely talented faculty, staff, and students across 13 colleges and multiple campuses and regional locations. That means greater challenges
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methylation sequencing, single cell DNA methylation, and single cell transcriptome • Perform machine learning/deep learning analyses; and delivering analytical results. • Develop workflows for multiple