21 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " Fellowship research jobs at City of Hope in United States
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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
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Querfeld, M.D., Ph.D., director of the Cutaneous Lymphoma program, seeks better treatment options for cutaneous T cell lymphoma (CTCL), a rare form of lymphoma that first appears on the skin but can also
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Institute at City of Hope. You will work on projects related to the molecular mechanisms underlying the aging-related diabetes development using genetically engineered mouse models and multiple omics
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics
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medicine, vascular biology, bioengineering, and data science, Dr. Chen leads an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Deng’s lab, please visit here. As a successful candidate