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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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zebrafish and mouse models, including microinjections, live imaging, and behavioral studies. Apply molecular biology techniques including PCR, cloning, and genotyping. Perform in vivo imaging and high
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the development of novel genomic assays involving single cell and spatial genomic experiments and state-of-the-art imaging analysis. You will also utilize your project management skills to prioritize and manage
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other cellular processes at single-cell, high spatiotemporal resolution. By integrating protein engineering, AI-driven directed evolution, fluorescence lifetime imaging, and in situ sequencing, our team
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preparation, sample processing, and microscopy imaging to generate high-quality datasets. Develop scalable workflows to increase data throughput Analyze complex datasets, in particular image processing and
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light microscopes, and cryo grids preparation equipment. The main function of the facility is 1) high-throughput, high-quality data collection on user-provided ready-to-image cryo grids utilizing either
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imaging methods and applying them to problems of biomedical interest. The lab’s current research is focused on three major areas: (1) super-resolution fluorescence microscopy, (2) single-cell transcriptome
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information and control behavior in mice and songbirds. We place particular emphasis on advanced optical approaches, including multiphoton microscopy, Bessel-beam imaging, and closed-loop patterned stimulation
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modulation and imaging techniques to achieve research goals. What we provide: A supportive and interactive work environment to strengthen your skills as a scientist. Joining the vibrant University
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interpretation, in particular image processing and analysis Present research reports and scientific data internally and externally in a cross-discipline environment Routinely review research activities against