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positions) in the areas of privacy-preserving health data sharing, AI modeling and evaluation of medical and biological applications. The Postdoctoral Associate will be responsible for co-developing and
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in
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, families), conduct school-based research, and maintain school relations Excellent statistics skills, including experience with longitudinal data analysis and multi-level modeling Excellent communication
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models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will be responsible for co
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for functional neuroimaging such as connectome-based predictive modeling. They will also receive training in the clinical neuroscience of preclinical and early-stage disease and in heterogenous Alzheimer’s and
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cell and molecular biology in human cell models, cancer biology, and genomics. Experience in genomic instability, DNA damage/repair, and mutagenesis is beneficial. Computational experience is highly
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the cell intrinsic immune machinery and DNA damage and repair processes using in vitro cell models, genetic screens (such as CRISPR and RNA interference), and animal models. We have a strong translational
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single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify