13 programming-"Multiple"-"Duke-University"-"FEMTO-ST-institute" "U.S" Fellowship positions at City of Hope
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to...
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co-receptors. · Program our HTS robotics platform to interrogate small-molecule libraries; triage hits, coordinate SAR follow-up, and shepherd hit-to-lead evolutions. · Express and
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or metabolic disease. For more information about Dr. Perry’s lab, please visit here. As a successful candidate, you will: Devise, plan, document and advance basic science-based projects in the area of structural
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top journals such as Journal of Hematology & Oncology (2024), Cancer Research (2024), Cell (2023), Cell Stem Cell (2023 ×2), and Nature Cell Biology (2022). The Su research program is currently
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Cancer (2024), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand
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presentation, ability to work efficiently in a team and with collaborators · Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage · Previous
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successful candidate you will: Devise, plan, document, and advance basic science and translational projects in genetics, epigenetics, and precision oncology of gastrointestinal cancers. Generate data for grant
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, FOLFOX-3B—all of which completed with numerous biomarker-driven projects pending). Participate in paper writing of multiple research projects. Data sets will be electronic. No biological samples will be
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: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
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metabolic syndrome · Utilize multiple cutting-edge technologies, including spatial transcriptomics and single nuclei multiomics, to dissect the molecular mechanisms of cardiomyopathy under diabetes