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, 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
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advanced computational methods for studying complex biological systems, merging statistical mechanics, dynamical systems, and Bayesian networks. We collaborate on disease research like leukemia, glioblastoma
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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
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biology, immunology, functional genomics, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational
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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
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receive excellent training in publishing high-quality papers. The following are representative publications: Nature Immunology (PMID: 28846085); Nature Communications (PMID: 30451821), Science advances
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, 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
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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
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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
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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