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conducting experimental, computational, and comparative work to understand how changes in gene expression underlie insect diet specialization and sequestration. They will be expected to come to the position
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assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
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in conducting experimental, computational, and comparative work to understand how changes in gene expression underlie insect diet specialization and sequestration. They will be expected to come to
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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acquisition and applied research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides
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practices. The candidate will design, coordinate, and perform field studies, prepare manuscripts for high-impact scientific journals, and will have opportunities to present and publish scholarly work at local
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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to the development of best dairy cattle management practices. The candidate will design, coordinate, and perform field studies, prepare manuscripts for high-impact scientific journals, and will have opportunities
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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with