32 software-defined-network-postdoc Postdoctoral positions at The Ohio State University
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project reports and present findings. • Provide educational sessions and professional learning opportunities for CETE staff and project partners. • Engage in national professional networks related to AI in
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in iPSC-derived cellular models. The position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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, innovation, and education, including student debt and outcomes, interdisciplinarity, the STEM workforce and careers, and the effects of investments in research on local economies. The postdoc will support and
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scholar will contribute to bioengineering of extremophilic microorganisms. This postdoc will lead research on the applications of ice-control proteins from extremophilic microorganisms. This work is part of
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and effectiveness in general chemistry laboratories are highly prioritized. Strong software skills in NVivo, Transana, STATA, SPSS, and/or RStudio desired. Additional qualifications include: - Excellent
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in iPSC-derived cellular models. The position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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sequencing data sets is preferred. This position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based
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, and practical changes to maximize excellence and effectiveness in general chemistry laboratories are highly prioritized. Strong software skills in NVivo, Transana, STATA, SPSS, and/or RStudio desired
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research group participates in SenNet NIH initiative, Networking of Senescence, and collaborations with the pharmaceutical industry. The applicant should preferably have a strong background in molecular