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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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approaches, e.g. GC (Gas Chromatography), HPLC (High Performance Liquid Chromatography), TLC (Thin Layer Chromatography), or MS (Mass Spectrometry). Experience or willingness to learn to use 14C isotopes
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through different analytical techniques including HPLC, GC-MS, Infrared gas analyzer…etc Familiar with the understanding of catalytic reaction mechanism by correlating the structural, textural features
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of chemicals, fuels, and other high-value materials from bio-oil. • Proficiency with analytical instruments such as NMR, GC, GC/MS, HPLC, FTIR/NIR, TGA. • Experience with chemical and biochemical laboratory
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-on, operational knowledge of both GC-MS and UHPLC-MS/MS instrumental analyses and data processing. The successful candidate will focus on data generation and metabolomics analyses of various American Elderberry
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cultural diversity and a safe workplace. Preferred Qualifications - A track record in functional gene and enzyme characterization, preferably in specialized metabolism, is desired. - Experience with GC-MS
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, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic
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in computational biology, bioinformatics, biological systems modeling, flux balance analysis, and machine learning. Analytical chemistry experience with HPLC, GC, GC- and/or LC-MS Required License
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/GC-MS/NMR etc. as demonstrated by published research articles. Skills such as microbial fermentation, carbohydrate analysis, and enzyme activity are preferable but not required. Qualification Standards
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/MS, GC-MS, Raman spectroscopy, and NMR instrumentation. Knowledge of identification, characterization, quantitation, and metabolic profiling of bioactive natural products in plants. Proficiency in
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). Knowledge and abilities with advanced analytical techniques such as LC-MS, GC-MS, Raman spectroscopy, and NMR for compound identification and metabolic profiling. Familiarity with statistical modeling and