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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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studying the impact of hypertension on postoperative cognitive outcome, including delirium, during aging. The project will focus on understanding mechanisms whereby peripheral surgery impacts
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to identify novel biomarkers and gain a better understanding of mechanisms underlying these inflammatory diseases. All candidates should have a strong interest in population or clinical research, be able
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Occupational Summary We are looking for an energetic and motivated individual to join our childhood cancer translational research team. We study a pediatric skeletal muscle solid tumor called rhabdomyosarcoma
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pharmacological manipulations in mouse models. · Perform behavioral assays related to neuropsychiatric disease models. · Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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modulating brain activity. Briefly, Focused Ultrasound has recently emerged as a ground-breaking new non-invasive, image-guided therapy to treat Essential Tremor (ET) and Parkinson’s Disease (PD). While it is
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods