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    Location: DC / Northern Virginia
    Remote: Willing
    Willing to relocate: Willing
    Technologies: Python • C • Zig • OpenCL
    Résumé/CV: http://www.colemanb.net/resume-2023.pdf
    Email: coleman.broaddus [at] gmail
    Natural Langs: English • Deutsch
Machine Learning researcher / CS PhD with degrees in biology and physics.

bioimage • detection • segmentation • tracking • denoising • deep learning • self-supervision

Looking at all offers.


What a beautiful design. And it feels faster than Sublime 4. Using Treesitter + LSP out of the box like Helix makes Zed productive with zero config.

Multi-buffers seems genuinely useful for project wide search panel as well as for cases where multi-line strings are used to define external file contents but miss out on syntax highlighting.

Looking forward to trying the live collab features.


please be a dog! [edit]: Damn :(


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