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comparative genomics and environmental GWAS across grasses, maize landraces, and sorghum landraces to identify functional variation in candidate proteins and regulatory sequences associated with traits such as
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research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify
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research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify
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: Leading system mapping for multiple zoonotic systems, including Hendra virus in Australia and Nipah virus in Bangladesh Helping organize, and participate in, Participatory Model Building with local
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aligned with the goals of the Cornell Global AI Initiative. The Cornell Global AI Initiative brings together researchers across disciplines to study how AI systems interact with culture, institutions, and
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environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple
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biochemistry. The ideal candidate will also have significant experience with: genome-wide DNA and RNA sequencing and analysis techniques, marine animal husbandry, and embryological manipulations. Supervision
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movement data Collaborating with a transdisciplinary international team of experts Assisting with project coordination and management Developing multiple peer-reviewed manuscripts as a lead-author and a co
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that describes the interest in this position, desired goals for the postdoc, alignment of the candidate’s expertise with position requirements, and anticipated start date. Candidate CV, including
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of communities that are too often neglected. A primary focus is addressing food insecurity across New York State. Our members approach these partnerships from multiple disciplinary perspectives and methodological