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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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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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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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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
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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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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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light microscopy imaging methodologies, including confocal, and light-sheet microscopy, hydrogel-tissue engineering, data analysis, and project management. 1-2 years of experience post-PhD is preferred
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engineering, including multiphoton microscopy and wavefront shaping. Using these novel imaging tools, the lab seeks to advance our understanding of previously underexplored biology, while contributing