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to an interdisciplinary research program integrating: Sequence- and structure-based enzyme mining and design Homology-based discovery, SSN-guided mining, and ML-assisted sequence exploration Structure-guided active-site
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is engaged in several metabolite discovery campaigns involving mining of large-scale metabolomic datasets to discover novel metabolites associated with human disease, genetics, and dietary exposures
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In this position you will have the opportunity to: map a high grade gold deposit, generate novel Raman spectra to be added to the rruff database, network with mining and exploration geologists, and
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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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and chemistry. The postdoctoral associate will join the growing Microbe-Mineral Atlas Center team to understand how microbes accelerate geology, and then leverage it for mining metals for sustainable
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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deploy genome assembly, annotation, and functional profiling pipelines using long-read and Hi-C sequencing data. Integrate genomic and metagenomic results to identify key determinants of productivity and
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, molecular, optical and chemical physics, high energy density and plasma physics, condensed matter physics, astrophysics and atmospheric sciences. Please see here for more information: https://www.unr.edu
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visit: https://www.unr.edu/engineering Additional information is available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu
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defense, water technologies, manufacturing and logistics operations as well as research into sustainable energy sources. For more information, please visit https://www.unr.edu/engineering Contact: Floris