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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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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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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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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
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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
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, or computational analysis is considered an advantage. This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Major Responsibilities The successful candidate will
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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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, epigenomics, single-cell technologies, stem cell biology, muscle biology, aging, immunology, gene and cell therapy, computational analysis, or animal models are especially encouraged to apply. Strong motivation
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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