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of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with
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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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, and data quality across locations and seasons. The Postdoctoral Associate will lead data analysis, synthesis, and interpretation across microbiological, genomic, and epidemiological datasets
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) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of ARC (https://arc.bctr.cornell.edu
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professionals Essential Qualifications: PhD in Chemistry, Materials Science, Physics, or a related discipline is required by the start of the appointment Experience with x-ray techniques, such as x-ray
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prey interactions and how to manipulate insect semiochemicals to protect plants Research biological control Conduct field and lab experiments Data analysis and writing: 30% Translate statistical data and
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plant tissues, perform DNA extractions and metabarcoding library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected
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interactions and how to manipulate insect semiochemicals to protect plants Research biological control Conduct field and lab experiments Data analysis and writing: 30% Translate statistical data and apply
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO's mission is to develop