15 engineering-computation-"https:"-"https:"-"UCL" Fellowship research jobs 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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, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position in the department of Computational and Quantitative Medicine. This project with Dr. Nagarajan Vaidehi
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine
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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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), 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 Foundation and several other prestigious
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mechanisms of macrophages in cancer immunosurveillance, identify immune checkpoints and ligands on various hematopoietic malignant and solider tumor cells with high-throughput screening and protein engineering
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: · Contribute to the development of CD38 antibody‑drug conjugates (ADCs) and other multiple myeloma targets, including monoclonal antibody (mAb) engineering, ADC conjugation, biophysical characterization (SPR
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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and