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mutation detection; participates in analyzing data for reports for the purpose of grants submissions; designs and conducts pre-clinical studies using a variety of disease models in mice; trains staff
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studies (mouse models specifically) is required. A Doctoral degree in an appropriate biological/health science field is desirable. Requires successful completion of a background check; qualified candidates
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are shaped by algorithms and Large Language Model AIs, technologies of automation and creation that mimic the superorganic “tradition” to which past folklorists had misguidedly assigned sole agency. How should
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transgenerational plasticity shapes individual responses to both natural and human-induced environmental change, using fish as model organisms. The successful candidate will have flexibility in determining
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alignment with the professional practice model. Required Qualifications Degree in Nursing from a CCNE (Commission on Collegiate Nursing Education) or Accreditation Commission for Education in Nursing (ACEN
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2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today are shaped by algorithms and Large Language Model AIs, technologies of automation
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surgical models How to Apply: Interested candidates should submit the following documents to Dr. Yanbo Fan (yanbo.fan@osumc.edu): Curriculum Vitae (CV)/Biosketch Cover Letter expressing research interests
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and mechanisms of selective autophagy and lipid metabolisms in neural stem cells, microglia, and astrocytes. The lab developed novel genetically engineered mouse models to study roles of autophagy genes
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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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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research