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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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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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, 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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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
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. • Experience with data analysis software (R, Matlab, etc.) Appointment Type
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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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- Significant statistical analysis experience with multilevel and/or longitudinal data - Strong conceptual and written communication skills Preferred Qualifications - Staff and graduate student supervision