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team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
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. As a successful candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry
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Research experience that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology
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, ensuring accurate documentation and handling procedures. Maintain knowledge of specimen processing requirements, laboratory procedures, and applicable safety practices. Coordinate protocol-related
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genomics, molecular biology, cell biology, immunology, and in vivo model systems. For more information about Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org
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our ReCord Study ( https://record.umn.edu ). Qualifications Your qualifications should include: · Ph.D. degree in genetics, genetic epidemiology, biological sciences, or a related discipline is
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. Expertise in using mouse models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography
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strategies. Through these efforts, we aim to accelerate the translation of molecular and clinical insights into tools that improve patient outcomes. More information about the lab can be found here: https
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that improve precision oncology and patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to