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. The Associate will utilize advanced measurement capabilities including LC-MS/MS, LC-HRMS, GCxGC-MS, ICP-OES, and NMR to develop methodologies for chemical contaminant profiling, or next-generation sequencing
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for characterization (higher-order structure MS methods, top down sequencing, peptide mapping, glycoanalysis, PTM’s, size/charge heterogeneity), stability and associated phenomena (aggregation, accelerated stability
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; Microbiology; Microbial Community; Consortia; Microbiome Engineering; Metabolomics; NGS; Sequencing; Mass Spectrometry; Bioinformatics; Network Analysis; Population Dynamics
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for the flexibility of protein, polynucleotide, and polysaccharide backbones during folding and activation. THz studies are a sensitive probe of crystalline order, conformational form, peptide sequence, solvent
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to achieving these goals. In particular, the development of novel neural network architectures capable of synthesizing data from both sequencing (genomics, transcriptomics) and mass spectrometry (metabolomics
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. In contrast to small molecule therapeutics, protein biologics are complex and require higher-order folding of the primary sequence (i.e., tertiary structure) for therapeutic function. While correct
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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, materials modeling (including finite element simulations, and theory), and the development of a high-speed circuit to quantify fiber alignment in composites in real time. To develop this technique, a
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(e.g., vertically-aligned carbon nanotubes, 2D materials) to expand the capabilities for infrared detection. Areas of particular interest include single photon detection at mid-infrared wavelengths
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device structures or into 2D and 3D crystalline arrays is required for such applications. Both research into specific assembly methods of SWCNT structures (aligned films, arrays of individualized SWCNTs