The postdoctoral fellow will conduct, report and present research in his/her field of study under the supervision of a faculty mentor. This is a training position, and is not expected to be a permanent position. Functioning independently, the Postdoctoral Researcher will design, organize, and conduct highly specialized and advanced experiments focused on super-resolution microscopy, with an emphasis on 3D-STORM imaging of nuclear organization. The researcher will integrate experimental and computational approaches, including the development and application of AI-based methods for analysis of high-density super-resolution datasets. The position involves both method development and biological discovery, with the goal of producing publishable, high-impact results. In addition to microscopy-focused work, the Postdoctoral Researcher will engage broadly with genomics-driven questions of nuclear organization. This includes integrating super-resolution imaging with genomic, epigenomic, and chromatin conformation datasets, and developing general AI methodologies such as deep learning, representation learning, and cross-modal data integration frameworks. These approaches are intended to operate across imaging and genomics data types and to support unified, quantitative models of nuclear architecture.
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Education Level
Ph.D. or professional degree