Sort by
Refine Your Search
-
Listed
-
Field
-
the biological mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to
-
, shaping the future of medicine through cutting-edge research. We seek a motivated and talented Postdoctoral Fellow to join Dr. Andrei Rodin’s laboratory in the Department of Computational and Quantitative
-
laboratory focuses on developing physics-based computational methods to study protein structure, dynamics, and drug design. For more information about Dr. Vaidehi’s lab, please visit here. As a successful
-
Medicine, and member of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment-based drug discovery, computer-aided drug
-
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
-
. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including
-
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
-
biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced
-
Join the forefront of groundbreaking research at the Beckman Research Institute of 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...
-
sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate