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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal
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stewardship of that object. Unlike with digital files in asset management systems, unless there is active work to preserve a paper trail of ownership and location, this information is quickly lost. Heritage
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scholarly journal articles and then leveraging professional networks to obtain a copy, or by going to web-scale search engines or AI to find what has made it to the open web. At Yale, we envision a different
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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journals; (c) experience or interests in programming languages such as R or python; (d) willingness to work with HIV+ samples following BSL2+ procedures; (e) willingness to work with mouse models; (f
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programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high-performance computing. Excellent analytical
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Informatics, or a related quantitative field. Strong programming skills in Python and/or C++. Peer-reviewed publication record appropriate for career stage. Ability to lead independent research projects while