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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly
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for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly
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genotyping), tissue sectioning and immunohistochemistry/immunofluorescence, confocal and light sheet imaging and quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid
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molecular biology techniques (e.g., plasmid cloning, western blotting, genetic crosses) and experimental approaches in neuroscience (e.g., electrophysiology or calcium imaging). Basic coding familiarity
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highlight your coding experience and explain how your enthusiasm and ability to learn quickly can help you succeed in this role—even if you don’t meet every listed requirement. About the Role: The Scientific
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to write code to perform custom image analysis methods and pipelines is preferred. Ability to perform independent research and to apply experience to develop new methodologies. Actively seeks opportunities
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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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. Our lab uses a broad range of techniques including proteomics, genomics, metabolomics, biochemical in vitro reconstitution, fungal genetics, and live-cell imaging. The ideal candidate for this role will