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at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating
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Description The Buckler/Romay Lab at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to
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written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author publications or conference proceedings from doctoral work is
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programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating, maintaining, and troubleshooting LC-MS/MS
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skills, excellent written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author publications or conference proceedings from
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demonstrate quantitative/qualitative research skills, excellent written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author
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, or a related science field. Candidates should demonstrate quantitative/qualitative research skills, excellent written and oral communication skills, and the ability to work independently and with
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in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
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of peer-reviewed publications in bioinformatics/multi-omics data. • Excellent written and oral communication skills. Preferred Qualifications: • Experience with cloud computing and high-performance clusters