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genome sequencing, high-throughput imaging, and continuous recording of biological systems to understand how organisms evolve and function. How genetic variation shapes body form and function is one
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tracking, and integrating these models into automated analysis and imaging workflows. The work also involves managing and quantitatively analyzing large-scale image datasets, method development in close
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. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and imaging workflows. The work
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, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
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methods such as large-scale sequencing Multiplex IHC and image analysis Data analysis and programming in R Independent interpretation of results and acquisition of new knowledge and methods Active