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important biological, translational, or applied research problems. Experience in cancer genomics, transcriptomics, molecular biology, murine or preclinical cancer models, human cancer datasets, next
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Molecular and biochemical techniques (RT-qPCR, Western blotting, ELISA, IHC, gene transfection) In vivo mouse models, particularly obesity-associated endometrial cancer models Transcriptional and post
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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genomics, bioinformatics, and translational oncology within the OSUCCC research environment. The position will lead independent and collaborative projects involving cancer biology, molecular subtyping
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. The successful candidate will leverage a combination of advanced molecular and systems neuroscience methodologies to advance our understanding of selective autophagy and lipid metabolism in glial cells
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genomics resources, and internally generated molecular datasets across diverse cancer types. Required Qualifications Ph.D. in computational biology, bioinformatics, biostatistics, computer science
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for Innate Immunity and Inflammation (CIII); participates in developing and implementing goals and objectives of studies; designs and executes complex laboratory experiments; performs advanced molecular and
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, directed differentiation, cerebral organoid models, electrophysiology techniques such as patch-clamp recording or multi-electrode array analysis, molecular biology workflows, mitochondrial assays, live-cell
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. The lab focuses on preclinical mouse models, but supplements this with in vitro cell work to understand changes in signaling and expression, as well as analysis of treated human tissue from clinical trials
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for dental and dental hygiene students to work in a vertically integrated model for delivering care. Division Information: Currently, the division consists of more than 30 individuals, including ten (12