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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site
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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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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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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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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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, 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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contribute to the creation of scalable, reproducible software for epidemic simulation and analysis. Responsibilities include model implementation, workflow automation, software documentation, performance
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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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of biomolecular interactions using Biolayer Interferometry or surface plasmon resonance, structural determination using single-particle cryo-EM analysis, and atomic model building is required. Deep knowledge and
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mammalian cells, measurement of biomolecular interactions using Biolayer Interferometry or surface plasmon resonance, structural determination using single-particle cryo-EM analysis, and atomic model building