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. Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models. Multi‑omics: single‑cell and bulk
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biochemical datasets. A major focus will be on introducing new AI models to chart the chemical “dark matter” of the mammalian metabolome; examples of such models include large supervised or self-supervised AI
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epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
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(TBI). The research will use in vitro techniques and in vivo mouse surgery models. A solid wet bench experience is required. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular
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senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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mouse models. Competency in SolidWorks, Graphpad, and Adobe Illustrator Successful candidates will be required to self-disclose any misconduct history or pending research misconduct investigation