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responsible for analyzing nitrogen and other volatile elements (H, C and/or noble gases) in samples using the ion microprobe techniques and/or noble gas mass spectrometry. These analyses will help improve our
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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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laboratory management, training, and method development Requirements PhD in Earth Sciences, Chemistry, or a related field Hands-on experience with MC-ICP-MS, TIMS, and nitrogen and noble gas analysis
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design nitrogen-efficient maize varieties. The Buckler/Romay Lab, in partnership with Cornell’s Institute for Genomic Diversity, employs functional genomics to dissect complex traits in grasses, cassava
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cell metabolism in liver diseases and liver cancer. The projects are built upon our publications on nitrogen metabolism and ammonia handling in several cancer types (PMID: 26603296, 31665640, 36256480
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-mediated nitrogen reduction reaction (LiNRR) systems for green ammonia synthesis at Aalto University’s Department of Applied Physics. In this position, you will have a chance to make an impact by
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: Characterization of sorbent/porous materials characterization e.g. nitrogen sorption (BET, BJH, NLDFT), breakthrough measurements, SEM, TEM, TGA, FTIR, NMR, thermal conductivity measurements Synthesis and/or shaping
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of nitrogen (N) that can be fixed from the atmosphere, major nutrients such as potassium (K), silicon (Si), phosphorus (P) or minor nutrients such as metals (zinc, Zn; magnesium, Mg; calcium, Ca; boron, B
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characterisation tools to understand and optimise the conversion of air and water into nitrogenous compounds to be used for fertiliser. You will be responsible for engaging in experimentation and technology
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characterisation tools to understand and optimise the conversion of air and water into nitrogenous compounds to be used for fertiliser. You will be responsible for engaging in experimentation and technology