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a passion for chemometrics and experience in advanced statistical analysis. Part of this work will involve the analysis of VOCs and low-molecular weight compounds in breath samples collected from two
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environmental stress (e.g., drought, light intensity) and genetic variation on the metabolic pathways in MAPs. This involves applying chemometrics to large datasets to pinpoint metabolites whose levels
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molecules and contaminants in human samples with health effects using innovative approaches, impact of microbiome on contaminant biotransformation; (iv) AI and chemometrics in food chemistry. The candidate
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approaches, impact of microbiome on contaminant biotransformation; (iv) AI and chemometrics in food chemistry. The candidate should not have a research focus in food technology/processing or nutritional
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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. Specific skills needed are experience in chemometrics, spectroscopy and product characterization techniques including NMR. Experience in advanced processing of analytical data would be desirable. The person
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expertise in reflectance spectroscopy and chemometrics for vegetation analysis or high-throughput phenotyping. A strong background in GeoAI, computer vision, and data fusion techniques. Experience designing
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and values. Our department is home to award-winning faculty and is one of NC State’s top producers of patent and invention disclosures. More information about the department can be found at https
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are strongly encouraged. Candidates interested in acquiring experience with chemometrics and multivariate statistics are highly desired. Feel free to reach out to learn more about this opportunity. Keywords
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and time-resolved fluorescence emission techniques. The analysis of the data obtained will subsequently be carried out by chemometric means (HCA and PCA) in order to obtain significant correlations