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Field
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biochemical datasets. A major focus will be on introducing new AI models to chart the chemical “dark matter” of the mammalian metabolome; examples of such models include large supervised or self-supervised AI
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mouse models, transcriptomics, classical immunological methods but also cutting-edge technologies, such as imaging flow cytometry, metabolomics, proteomics and extracellular flux analysis. In addition
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facility Proteomics and metabolomics mass spectrometry cores A comprehensive biophysics core facility All major instrumentation is located in the same building. Key Responsibilities: Our group uses
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grants: In vitro fermentation and gut microbiome analyses of different varieties and food preparation of quinoa breeding lines and varieties. In vitro fermentation and gut microbiome/metabolomics/cell
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a focus on metabolomic and transcriptomic data. Performing tissue sectioning, matrix coating of the resultant sections, data acquisition using a Bruker TimsTOF MALDI-2 instrument and downstream
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systemic metabolic functions in the body during aging. Using mouse models, flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence microscopy, HSC transplantation and assays
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transcriptomics, proteomics, metabolomics, or comparative genomics). Candidates must also demonstrate strong analytical, quantitative, and problem-solving skills. Required License/Registration/Certification N/A
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Multi-omics integration Mass spectrometry-based metabolomics NGS Data Analysis Programming proficiency in R or Python Training and Mentoring Junior Scientists Strong scientific communication Excellent
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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to be genetically and biochemically characterised to see how they may alleviate inflammation in IBD-disease models. Microbiome and metabolome analysis of these in-house strains will finally be validated