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genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species
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for conservation genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants
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, and community health modeling Hub (uTECH Hub), and the Blockchain powered Climate Actions in Transportation (CAT-Chain) ecosystems. This position is ideal for candidates interested in research–practice
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending
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Blockchain powered Climate Actions in Transportation (CAT-Chain) ecosystems. This position is ideal for candidates interested in research–practice integration, large-scale mobility modeling, and translating
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biological mechanisms driving spillover to understanding distal anthropogenic drivers such as land use change and climate variation. Successful applicants will have a PhD in systems science, systems biology
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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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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to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending on the interest