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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping
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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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acid production, bioplastic fermentation, bioplastic recovery & purification, mathematical modeling, and technology scale-up. The successful candidate will also have opportunities to be involved in grant
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Responsibilities: Performing advanced analyses and modeling of neuroimaging and behavioral data. Preparing manuscripts for publication. Overseeing neuroimaging data. Collaborating on the development and execution
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molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
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• Experience collaborating on larger research projects with an ability to manage others, including graduate students • Experience with multilevel modeling and other advanced statistical procedures • Willingness
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research in modeling and simulation of disease transmission in an ecological setting and teaching one class per year. The individual will also be responsible for writing documents, including grant reports
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learning, or deep learning models Salary Information Commensurate with experience Review Date March 10, 2025 Additional Information The successful candidate will be required to have a criminal conviction
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pathogenesis. The candidates will utilize both in vitro and in vivo model systems to investigate how hepatitis E virus invades the central and peripheral nervous systems to cause neurological injuries leading
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( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using MATLAB