16 parallel-computing-"LCC-CNRS" Postdoctoral positions at St Jude Children's Research Hospital
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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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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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of the proteome in cells with structural proteomics approaches. Our research program focuses on pathogenic members of the family Vibrionaceae with a strong emphasis on the intestinal pathogen Vibrio cholerae and
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biostatistics faculty collaborating with the Childhood Cancer Survivorship Program (CCSP). You will develop innovative biostatistical methods for childhood cancer survivorship research and collaborate with CCSP
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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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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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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 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