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markers, and more than 17 years of follow-up for brain health outcomes. The specific aims include developing and applying an advanced analytical workflow based on LC-ESI-HRMS, LC-HRMS, GC-MS/MS, and ICP-MS
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments
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, characterization, binding properties, modification, and application in food systems. Also a sloid knowledge and research experience on chromatography (HPLC, UPLC, GC/MS, GC/MS-O) and proteomics is required.This
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/or structural determination of plant cell wall components. Operating analytic instrument such as HPLC, LC-MS and/or GC-MS and performing data analyses. OTHER INFORMATION: Review of applications begins
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characterization will be highly valued, along with proficiency in advanced analytical techniques such as NMR, FTIR, GC–MS, HPLC, BET, and electron microscopy. The incoming postdoc will work closely with the PI
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, combustion, chemical engineering, or related fields; iii) Skills in developing experimental combustion devices or high-temperature reactive systems and in GC/MS. iii) Good level of English to work in an
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. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc
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techniques (XRD, BET, SEM, TPR, GC-MS, etc.). Collaborate with interdisciplinary teams and contribute to scientific publications. Support the preparation of funding proposals and technical reports. Where
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skills in analytical chemistry method development (e.g., HPLC-MS/MS, GC-MS/MS). Interested applicants with a range of clinical and laboratory-based skills and doctoral degrees will be considered
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analytics including HPLC and/or LC/GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next generation sequencing (e.g., Nanopore