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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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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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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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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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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
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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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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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, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in