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. The postdoctoral associate will be a key contributor to envisioning and advancing biodiversity monitoring, particularly the ability to maximize the impact of acoustic data in the eBird monitoring framework
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evaluation of livestock nutrition and performance models for grazing beef and dairy systems. Integrate biophysical and environmental models into broader food systems modeling frameworks. Contribute to peer
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designs and regional-to-continental scale investment of monitoring resources. Developing methods to quantify and propagate uncertainty across integrated monitoring frameworks Developing methods for joint
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for grazing beef and dairy systems. Integrate biophysical and environmental models into broader food systems modeling frameworks. Contribute to peer-reviewed manuscripts, technical reports, and presentations
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AI frameworks that: (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species resilience, adaptation, and extinction vulnerability
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for grazing beef and dairy systems. Integrate biophysical and environmental models into broader food systems modeling frameworks. Contribute to peer-reviewed manuscripts, technical reports, and presentations
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develop and apply cutting-edge artificial intelligence approaches for conservation genomics. The successful candidate will lead the development of novel AI frameworks that: (i) integrate thousands of genome
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systems, urban technology, networks science, information, decision and complex networks, computational and infrastructure intelligence, revenue and finance, complex systems architectural design framework