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are especially excited to hear from candidates eager to invent new tools, wetlab approaches for circulating nucleic acids, interpretable machine learning for biomarker discovery, and methods we haven’t imagined
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Rose Postdoctoral Associate-1 The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines
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. The postdoctoral associate will be expected to work both collaboratively and independently on research projects, advancing computational methods using machine learning, developing automated pipelines for data
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Position Description Rose Postdoctoral Associate Cornell Lab of Ornithology College of Agriculture & Life Sciences Ithaca NY The College of Agriculture and Life Sciences (CALS) is a pioneer of
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for the Institute and collaborations with Duffield Engineering faculty interested in engaging in discipline-based education research and/or scholarship of teaching and learning. Postdoctoral associates will join a
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for the Institute and collaborations with Duffield Engineering faculty interested in engaging in discipline-based education research and/or scholarship of teaching and learning. Postdoctoral associates will join a
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Genome Curation Assistant (Jarvis ): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting
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Active Learning Initiative (ALI). The Postdoctoral Associate will participate in ALI programming, including weekly fellows’ meetings and program evaluations such as surveys and classroom observations
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration
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modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes