23 Computer Science Fellowship positions at City of Hope in united-States in United States
-
, shaping the future of medicine through cutting-edge research. The Nath lab is seeking applicants for a postdoctoral position in computational cancer biology. Our lab aims to enhance cancer treatment
-
advanced computational methods for studying complex biological systems, merging statistical mechanics, dynamical systems, and Bayesian networks. We collaborate on disease research like leukemia, glioblastoma
-
providing data and is focused on fundamental biology. This interdisciplinary position offers opportunities to address important questions in computational biology and cancer genomics with first access to
-
of Molecular Diagnostics and Experimental Therapeutics, and member of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment
-
the molecular mechanisms of thymic regeneration. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim
-
malignancies using engineered cellular therapies. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in combining novel rational and combinatorial synthetic biology approaches
-
receive excellent training in publishing high-quality papers. The following are representative publications: Nature Immunology (PMID: 28846085); Nature Communications (PMID: 30451821), Science advances
-
, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellow position in Computational Biology is immediately available under the direction of Dr. Nagarajan Vaidehi - Chair
-
of the following areas within the laboratories of Dr. Ling Li, Professor in the Department of Hematological Malignancies Translational Science, Department of Pediatrics, and Gehr Family Center for Leukemia Research
-
. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T