51 agent-based-simulation-"Multiple" Postdoctoral positions at The Ohio State University
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Interest in conducting field-based research Additional Information: To apply, please combine the following materials into a single PDF and submit through Workday: Cover letter describing the two-year
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industry, training of students, and community outreach. We invite applications for a postdoctoral fellow based at the Center for Quantum Information Science and Engineering (CQISE). The ideal applicant will
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on implementing new technology to support periodic follow-up, repair, and maintenance of wheelchairs in the clinic environment. This is a full-time position based in Columbus, Ohio, with an initial appointment
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-viral transfection techniques, polymer-based micro/nano-fabrication processes, and biomolecular techniques. Strong interpersonal and teamwork skills are required. Diverse candidates are especially
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data, troubleshoot protocols and adjust experimental design based on preliminary results. Communicate her/his thoughts well and keeps clear record of her/his experiments. In addition to her/his technical
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. The CMS group invites applications for a Post Doctoral Scholar position that will be based at the OSU campus. The group is involved in several analyses and upgrade projects, including the Track Trigger
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Sciences | Spanish and Portuguese The Sociolinguistics Lab of the Department of Spanish & Portuguese invites applications for a Post Doctoral Scholar position that will be based at the Department of Spanish
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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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international conferences, publishing results in peer-reviewed journals, mentoring graduate and undergraduate students, and contributing to collaborative, team-based research. Required Education Ph.D. in plant
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role in advancing our mission to develop next-generation digital twin frameworks that integrate physics-based modeling, data-driven inference, and real-time monitoring to support robust lifecycle