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, longitudinal follow-up, biospecimen and clinical data collection, EHR-based cohort development, physiologic data integration, machine learning analysis, and manuscript and grant development. Minimum Requirements
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discovery and characterization, data analysis, manuscript preparation, and mentoring junior laboratory members. Choose Duke. Successful candidates will join a collaborative and intellectually stimulating
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validation of the models, quantitative data analysis, and preparation of results for progress reports, presentations, and publications Choose Duke. Duke Surgery is #1 in NIH Grant Funding. We
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include collaborating on the development of research questions, data collection and analysis, manuscript and grant preparation, and the supervision of students and research assistants. The position will
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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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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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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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, 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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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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, 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