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, molecular biology, pharmacology, and/or a related field. Experience with cell culture, mouse models, and biochemistry/molecular biology is required. Familiarity with gene sequencing techniques/data analysis
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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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sequencing data analysis is preferred. The ideal candidate is detail-oriented, organized, and thrives in a collaborative, fast-paced environment. Key Responsibilities · Design and execute in vivo and in vitro
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simulations and data analysis. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience
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. The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team
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for cryo-EM grid preparation, and a 100 keV Tundra cryo-TEM. We have regular access to the 22-ID beamline at the Argonne Photon Source for X-ray data collection, as well as to a Titan Krios microscope
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initiative goals. • Designing and overseeing data governance, reporting, monitoring, and stewardship processes that enable secure and effective use of cross-sector data. • Developing conceptual frameworks
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scientists in biomedical research. Our Ph.D. students and postdoctoral fellows have published in strong journals, secured prestigious research awards and fellowships, and advanced to leading institutions and
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functional genomics Cell and molecular biology Neuroscience or neurobiology Bioinformatics, computational biology, and large-scale data analysis Choose Duke. Successful candidates will join a collaborative and