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contributions to their academic disciplines, teaching students, modeling collegiality, and serving the University and the broader Ohio community. Post doctoral scholars, as with all members of the Center, should
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of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical scope
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are to 1) support the development, piloting, and dissemination of the decision support tool for farmers and policy makers; 2) bridge gaps between the project’s modeling and extension teams in development
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under the guidance of his/her scientific mentor to investigate the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments
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(skin cancer and lupus), skin disease epigenetics, exosomes, and 3D skin models. The goals of these studies are to elucidate molecular mechanisms by which cells sense UV-induced DNA lesions (CPD and 6-4PP
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infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing
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AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help
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induced pluripotent stem cells (iPSCs), including reprogramming, maintenance, and differentiation into cardiomyocytes and non-myocyte cells; utilizes CRISPR-Cas9 genome editing to model genetic
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to the development and refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model
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metastatic disease. To tackle these questions, we use cutting-edge technologies, including spatial transcriptomics, single-cell multi-omics, tumor immunology, and in vivo genetically engineered mouse models