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Field
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and designed proteins using a combination of classical and advanced techniques including optical and NMR spectroscopy, surface plasmon resonance, light and X-ray scattering, cryo-electron and
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polymer synthesis and characterization. In-depth experience with polymer characterization techniques (e.g. FTIR, NMR, TGA, DSC, DMA). Troubleshooting and problem-solving skills and attention to detail
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industrial applications. Analysis and Characterization: Employing a wide range of analytical techniques, including EM, SEM, AFM, XPS, UV-Vis, IR, cyclic voltammetry, and NMR to comprehensively characterize
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. Excellent core instrumentation and state of the art facilities for NMR spectroscopy and mass spectrometry with full time support staff are available on site. Position Summary The Oberlies Research Group in
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, PyTorch, Scikit-learn). Knowledge of metabolomics data analysis, including LC-MS, NMR data preprocessing, normalization, and feature extraction. Familiarity with multi-omics data integration, biomarker
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biophysical techniques such as NMR spectroscopy and/or small-angle X-ray scattering is required to capitalize on the opportunities of this project. About the lab and St. Jude: The successful candidate will join
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related discipline by the time of the appointment Expertise in design and execution of organic reactions, analysis and interpretation of spectroscopic data (HPLC, NMR, Mass Spec) Strong independent problem