29 parallel-computing-numerical-methods Postdoctoral positions at St Jude Children's Research Hospital in postdoctoral
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The Meyer Lab in the Department of Pharmacy and Pharmaceutical Sciences at St. Jude Children's Research Hospital is currently recruiting a Postdoctoral Researcher with skills in both computational
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
The Peijun Ma Laboratory at St. Jude Children's Research Hospital is seeking a highly motivated Computational Postdoctoral Researcher to develop and apply computational approaches for bacterial
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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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basis of the childhood brain tumor medulloblastoma. The Northcott Lab has established an internationally renowned track record in pediatric neuro-oncology, substantiated by numerous impactful publications
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of behavior. Methods that incorporate quantitative analysis and computational modeling are also of strong interest. Applicants should be highly collaborative and committed to pursuing impactful applications
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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and Knowledge Experience in mass spectrometry-based proteomics, crosslinking chemistry, or structural methods such as cryo-EM or integrative modeling. Familiarity with computational tools for protein
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the influenza A virus infection cycle and developing methods for in-cell structural biology. This project will study influenza A virus infection inside cells using cryo-electron tomography. You will image
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A postdoctoral position is available in the laboratory of Dr. Young-Goo Han in the Department of Developmental Neurobiology/Neurobiology and Brain Tumor Program at St. Jude Children's Research
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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