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varieties. The Buckler/Romay Lab, in partnership with Cornell’s Institute for Genomic Diversity, employs functional genomics to dissect complex traits in grasses, cassava, and diverse crops. We leverage
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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as
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collaborating with colleagues to address more complex challenges. You will play an active role in strengthening research capability within the School, supporting students informally, engaging with academic and
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larger network of PIs and postdocs and technicians based at the Universities of Manchester and Liverpool. The post will include developing and optimizing molecular biology protocols for high-throughput
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the ability to perform complex data analyses. Has experience with implementing computer-based experiments as well as field experiments. Has professional proficiency in English, both written and spoken
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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highly relevant for the candidate. The project combines experimental and computational approaches to dissect transcriptional dependencies and regulatory networks in clinically relevant model systems. We
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Professor Evan Myers, Core Faculty Member of the Margolis Institute; this second project is funded from NIH/NCI Cancer Intervention and Surveillance Modeling Network (CISNET) comparative modeling funding and