50 electronics-engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at The Ohio State University
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advanced materials research. These shared facilities foster collaborations across physics, chemistry, materials science, and engineering, enabling faculty and students to address complex scientific
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testing Developing and implementing experimental protocols for characterizing mainstream particle and aerosol size distributions from combustible and electronic products Expertise in operating liquid
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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, obesity-related cancer, metabolism, cardiovascular, microbiome research, or the tumor microenvironment. · Experience with syngeneic or genetically engineered mouse models, flow cytometry, histology
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engineering, and/or biotechnology will be considered. Preference will be given to applicants with experience in next generation sequencing and cell imaging techniques. The Post Doctoral Scholar position is
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transcriptomics, methylation, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets
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recommended. Applications should include: A cover letter which includes a motivation for applying for the position, and the names, institutions, and email addresses of at least three individuals who can provide
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stakeholders. Working Conditions: This position requires work in office, classroom, and agricultural settings. Duties involve prolonged computer use, standing, walking, and occasional lifting of educational
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, and metabolic disorders. Experimental approaches include genetically engineered mouse models, MI and sepsis (CLP/LPS) models, aging and metabolic disease models, and molecular, cellular, imaging, and
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cut lung slices, transgenic rodent models, preclinical models of lung fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy