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characterization Expertise in enzymology, including assay development, LC-MS and HPLC analysis Experience with X-ray crystallographic analysis and protein structure determination or single particle cryo-electron
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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of Minnesota for an experienced research associate focusing on developing and applying MS-based technologies for metabolomics research studies. The CMSP (https://cmsp.umn.edu) is the main biological MS-based
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proficiency in compound purification and characterization using techniques such as chromatography, HPLC, LC-MS, and NMR. Ability to independently design experiments, analyze data, troubleshoot synthetic
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/industry partners, and UChicago clinical staff on study design and data interpretation. Maintain and troubleshoot LC and GC-MS instruments; perform targeted and untargeted metabolomics experiments. Support
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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and genetic determinants underlying bacteria-phage interactions in Bacteroidales. In particular, we have high-resolution LC-MS capabilities (Revident qTOF) that allows us to study the biology of
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, chemistry, structural biology, protein science or a related discipline. - Experience in structural mass spectrometry, particularly HRMS, LC-MS, native MS, intact mass or top-down MS, would be highly desirable
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/or LC-MS, and plant bioassays to evaluate the biostimulant activity of the extracts, within the context of biotechnological applications of microalgae in agriculture. Further details are available
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analytical techniques (HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most