55 postdoc-in-high-voltage-engineering Postdoctoral positions at The Ohio State University
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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Upgrade for the high luminosity running of the LHC and searching for Beyond the Standard Model physics using effective field theory. The Post Doctoral Scholar will take a leading role in analysis of Run 2
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immune escape mechanisms in lung cancer. This position is supported by a newly funded NIH grant. The research will involve high-throughput functional genomics using CRISPR-based screening, lineage tracing
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, confocal/multi-photon high resolution imaging, patch clamping. The Ai lab offers a unique, dynamic environment encompassing both basic science and translational research funded by the NIH. Qualified
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Writing for scholarly and applied audiences Delivering presentations to diverse stakeholders Preferred qualifications: Extensive knowledge of and experience with instructional technology and online learning
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include DNA sequence data curation, processing, and analysis using high performance computing; excellent verbal and written communication skills; and a collaborative mentality towards research and mentoring
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studies and comparison of snow cover area and ice area on the Quelccaya ice cap and the Papua, Indonesian ice fields from 1985-2025 using high resolution satellite images.; leading manuscript preparation
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Center has 10 nationally ranked specialties out of 15 and two selected as high performing. U.S. News & World Report consistently ranks the Ohio State Wexner Medical Center as the top hospital in Columbus
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records Write reports for submission to research sponsors Present findings to colleagues and at conferences Submit publications to high-impact refereed journal Perform in vivo experiments on mouse models
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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