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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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work with colleagues from Virginia Tech and other collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore
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on thalamo-hippocampal circuits underlying social aggression and pain regulation, with the goal of uncovering novel mechanisms that shape complex behaviors. This is an excellent opportunity for individuals
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software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock
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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
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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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. The successful
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learning, or deep learning models Appointment Type Restricted Salary Information Commensurate with experience Review Date March 10, 2025 Additional Information The successful candidate will be required
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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