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Field
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and LC-MS/MS analysis of lipids involved in inflammation and its resolution. The candidate will contribute to daily laboratory operations, sample preparation, data acquisition and analysis, and
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optimisation of advanced liquid chromatography-high resolution mass spectrometry (LC-MS/HRMS) instrumentation, implementation of quality assurance procedures, support of analytical method development and
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RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location
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-payloads and ADCs using flash chromatography, preparative HPLC, SEC/FPLC and other suitable methods. Characterize products and assess identity, purity, drug-to-antibody ratio and aggregation using NMR, LC-MS
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maintaining LC-MS instruments, troubleshooting workflows, and analyzing mass spectrometry data using platforms such as PEAKS, FragPipe, DIA-NN, and Skyline. The scientist will lead projects from concept through
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established targeted and untargeted metabolomics workflows at CMSI. Your tasks will include: •Sample preparation for targeted and untargeted metabolomics analyses. •LC-MS analysis using established CMSI
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involves: the application of highly specialised technical skills, to maintain and troubleshoot a portfolio of analytical instruments (LC-MS, SFC-MS, GC-MS) managing and delivering short and medium-term
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London to work in the Liquid Chromatography-Mass Spectrometry Team (LC-MS). The post holder will have expertise in high resolution (HRMS) and tandem Liquid Chromatography-Mass Spectrometry (LC-MS/MS) and
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development, data acquisition, and bioinformatics analysis. The successful candidate will oversee the operation, maintenance, and optimization of LC-MS/MS, GC-MS, and other mass spectrometry platforms, while
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) Research focus: The research will focus on metabolomic analysis using LC-MS and SFC-MS approaches. The successful candidate will be involved particularly in: LC(SFC)-MS analysis of metabolites; sample