19 high-performance-quantum-computing-"https:"-"https:"-"https:" 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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through cutting-edge research. A postdoctoral research fellow position in the department of Computational and Quantitative Medicine. For more information about Dr. Vaidehi’s lab, please visit here. As a
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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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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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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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an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates innovative high-throughput sequencing technologies, bioinformatics approaches
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. Our group performs cutting-edge research in GI oncology, is very productive, and publishes in high-impact journals such as Nature Cancer, Nature Communications, Nature Biotechnology, Nature Reviews
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Postdoctoral Fellow. This is an excellent opportunity to join a well-established team and lead projects that culminate in publications in high-impact journals. Our research focuses on drug development
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO