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experiments to evaluate model performance on a wide distribution of microscopy images and model architectures. Collaborate with interdisciplinary teams, potentially mentor junior engineers, and direct or assist
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novel architectures, and ensure all work meets the highest standards of reproducible, open science. This role requires close collaboration with our microscopy, sequencing, and protein engineering team
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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