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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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. The Department of Neurobiology is looking for a highly motivated Postdoctoral Associate to join our team investigating the neural mechanisms of motor learning and long-term motor memory. In this role, you will
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optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model
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Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Postdoctoral Associate, you’ll be a vital part of a collaborative, interdisciplinary team
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Postdoctoral Associate to be part of an integrated experimental and computational team working to create focused antibiotic prodrugs that treat bacterial infections while sparing the gut microbiome. Building
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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. The Department of Biostatistics and Bioinformatics at Duke University is seeking a Postdoctoral Associate to join our research team. In this role, you will collaborate with investigators within and
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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, infants, young children, and their families. The postdoctoral associate will work closely with Dr. Rushina Cholera and a multidisciplinary leadership team to design and implement the initiative’s data
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the cellular crosstalk and basic molecular mechanisms during lung repair and disease. We utilize in vivo mouse genetics, live -imaging, 3D organoids, functional screening, and next generation sequencing