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by collecting relevant data from 2D, 3D, or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple
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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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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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, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will build AI-driven robotic systems for high-throughput brain imaging and behavioral
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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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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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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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combine genetics, optogenetics, in vivo calcium imaging, and quantitative behavioral methods to uncover fundamental organizational and functional principles of the brain. For more information about the
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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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position in the lab requires high-level technical skills in microscopy and computational image analysis and experience in experimental biological research. Duties and tasks are complex in nature where