40 numerical-analysis Postdoctoral positions at The Ohio State University in United States
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Center. Responsibilities Include: High through-put analysis and genomic analysis of gene expression Plans, designs, executes, and manages research projects related to the control of development and cancer
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analysis Established experience with animal models is mandatory Strong publication record, including at least two publication outputs in the last three years, with the applicant as the principal author
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-quality flow cytometry-based assays, and molecular cloning. Experience in RNA-seq and next-generation sequencing data analysis is desirable. A proven academic publication track record, including first
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variety of methods (quantitative and qualitative), and helping to hire, train, and oversee research assistants. A large focus of this role is on the analysis and dissemination of existing DoDVLS-related
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and analysis, preparing manuscripts and grants, and training others (e.g., students, staff) in relevant methods and procedures. Job Requirements Doctoral Degree in an appropriate discipline is required
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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circuits in pain sensation. To address these questions, we employ mouse genetics, molecular biology, virology, genomics, imaging techniques, and behavioral analysis. We are looking for highly motivated
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Exploris Orbitrap Mass Spectrometer and Easy NanoLC. Develop and refine protocols for sample preparation, mass spectrometry analysis, and data processing. Collaborate on multi-author research papers
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and