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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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start date. Experience in brainstem analysis using neuromelanin imaging at both structural and functional levels Experience with various functional connectivity approaches (e.g., PPI, Beta-Series, and C
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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, 2022 ( 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
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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g
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concurrent duties - Excellent communication skills - Strong track record of publishing in peer-reviewed journals Preferred Qualifications - Proficiency with data analysis and visualization in R - Experience
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treatment, analysis and remediation technologies. This position will actively contribute to federally funded and industry-supported projects. The initial appointment is for one year with opportunities
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biodiversity surveys for plants, microbes, and insects, soil health analysis, phytochemical analysis of fruits, and design and analysis of economic surveys. They will communicate results broadly to both
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awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience in high-throughput sequencing data analysis. - Track record of first
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optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman