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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine
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The Geeleher Lab tightly integrates wet-bench and computational approaches to improve outcomes for children with cancer, with a particular focus on neuroblastoma and other high-risk pediatric solid
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of Structural Biology and is supported by US $50 million in institutional funding. This large-scale project leverages ultra-high field nuclear magnetic resonance (NMR), complemented with cryoEM, X-ray
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. The successful candidate will have access to dedicated high performance computing (HPC) system, multiple Krios TEMs, advanced cryo-FIB-SEM systems including Hydra-bio, Arctics, and Aquilos II with integrated