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at the interface of engineering, neuroscience, cell biology, and optical imaging research. Initially, jET interns will be dedicated to learning engineering tools and best practices by assisting staff engineers and
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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(e.g., imaging fluorescent proteins in C. elegans ) Data analysis (image processing, quantification, statistics, etc .) C. elegans husbandry (animal maintenance, etc .) Assist with general laboratory
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mouse models, including colonizing mice with defined microbiota, performing cell transfers into mice, harvesting and processing of mouse tissues for flow cytometry, genomics, and imaging studies Culture
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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
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health and welfare benefits. Access to advanced facilities in instrument design and fabrication, imaging, and computation. The opportunity to engage with world-class researchers, software engineers and AI
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) and the Schnitzer Lab (Stanford University; HHMI), seeks a Staff Robotics Engineer to design and build AI-driven robotic systems for high-throughput brain imaging and behavioral phenotyping in
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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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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code