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of 3 years post-PhD experience (academic, core facility, or industry). Minimum of 3 years of experience working in the areas of image acquisition, image processing, and computer-assisted image analysis
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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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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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body in Drosophila and bumblebees as model systems. Our research integrates genetic tools, high-throughput behavioral analysis, EM connectomics, expansion microscopy, mass spectrometry, calcium imaging
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from tissues for downstream analysis. Perform flow cytometry, histological analyses, and imaging-based ferroptosis assays. Analyze single-cell and spatial transcriptomic data in collaboration with
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-paced, highly collaborative environment. It is ideal for individuals planning to spend two years gaining hands-on research experience prior to pursuing a PhD or graduate program, offering exceptional
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have created a rich, flexible behavioral paradigm where mice search for hidden food items in a large, dark arena, guided by hard-to-locate sounds. We are using this assay to ask: how do animals use
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microscopy tools for visualizing critical biological processes deep within their native context, with a particular focus on applications in neuroscience. To this end, the lab combines tools from physics and