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Experience in research and data analysis highly preferred. Strong foundational knowledge or interest in molecular systems, structural biology, or cellular biology preferred. Experience with computational
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reviews, development of study materials, various data collection activities, preliminary data analysis, and implementation of other activities as assigned to ensure conformance with the project’s goals and
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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data analysis techniques (e.g., using MAXQDA). Additional responsibilities include collaborating with and mentoring a team of graduate and undergraduate student researchers. There may be opportunities
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data analysis techniques (e.g., using MAXQDA). Additional responsibilities include collaborating with and mentoring a team of graduate and undergraduate student researchers. There may be opportunities
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socially marginalized communities. The position will lead data management and analysis for ongoing research projects. There will be opportunities for authorship on publications, presentation at conferences
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and neural data. The Postdoctoral Associate
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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psychiatry, or a related field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and