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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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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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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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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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multiple universities and organizations. The research team collaborates closely with an industry-leading engineering team at FreshCognate, which supports tooling for data processing, annotation, and analysis
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations
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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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environmental GWAS across grasses, maize landraces, and sorghum landraces to identify functional variation in candidate proteins and regulatory sequences associated with traits such as root architecture and soil
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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