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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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, evolution, and machine learning, which is part of HHMI’s AI for Science Initiative (ai.hhmi.org ). Our goal is to integrate evolutionary biology principles into protein language models. This role will
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wide range of approaches: protein biochemistry and reconstitution, single-molecule biophysics, proteomics, metabolomics, fungal genetics, evolutionary analysis, mammalian cell culture, and live-cell
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biology, microbiology, protein biochemistry, and computational approaches to pursue these questions. To learn more about the Laub Lab and our research, please visit: https://www.laublab.mit.edu/ The Laub
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consequences. More information about the lab and its work can be found by visiting https://research.fredhutch.org/malik/en.html This role will help to support a research program focusing on the evolution