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Field
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linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics
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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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Spintronics, Complex systems, Theoretical Mathematical Science, Big Data, Mechanobiology / Physical Biology, Bio-energy, Genetic to Physiology, Mental Health, High Performance Computation in Physics, Chemistry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as