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access to premier facilities. As the largest U.S. Department of Energy science and energy laboratory, ORNL researchers and staff are engaged in ‘Solving Big Problems’, increasing America’s security and
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competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. The SCINet/Big Data Research Participation
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biology Experience in machine learning and artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and
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methods, developing new use-patterns for pesticides of invasive species, determining the importance of genetic diversity in large-scale plant invasions and its importance for classical biological control
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artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and computational programming Strong computational and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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, but over land the surface contribution to upwelling microwave radiation is large, heterogeneous, and complex. We request research projects looking at algorithm enhancements in this area (including
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techniques including HPLC and LC-MS Multi-omic evaluation of a variety of sample types using top-down and bottom-up analytical methodologies, bioinformatic data processing, and olfactory sciences studies
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sample types using top-down and bottom-up analytical methodologies Bioinformatic data processing Throughout your participation, you will have the opportunity to advance your general molecular biology