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The Leibniz Institute of Plant Biochemistry invites applications to fill the position of PostDoc Researcher for Metabolomic and Proteomic Analysis (m/f/d) (Salary group E13 TV-L,working hours 100
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The following full-time (39,5h/week) position in Metabolomics research is available at Heidelberg University, to begin October 1, 2025 or as soon as possible: Postdoctoral Research Associate
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
Position Overview: We are seeking a highly qualified Postdoctoral Researcher to join its multidisciplinary research team working at the intersection of Artificial Intelligence (AI), Metabolomics
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and diazotrophs using an ultrahigh performance liquid chromatograph coupled to an Orbitrap high-resolution mass spectrometer. The approach will include non-targeted metabolomics and targeted analysis
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 22 hours ago
Previous Job Job Title Post Doctoral Fellow Research - American Elderberry Metabolomics (Dr. Lloyd Sumner's Lab) Next Job Apply for Job Job ID 55682 Location Columbia Full/Part Time Full-Time Add
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on metagenomics, metabolomics. Candidate should be familiar with lab safety and regulations and have a background in Immunology & Molecular Biology with wet lab experience. Essential Qualifications/Experience
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outcomes among survivors of European and African ancestries; 2) analyses of multi-omics (genomics, transcriptomics, proteomics, and metabolomics) and system genetics (e.g., eQTLs regulating molecular
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-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The junior research group Metabolomics-guided Natural Product Discovery (https://www.leibniz-hki.de/de
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collaborations at both European and international levels. Context Recent advances in computational mass spectrometry-based metabolomics have unleashed a massive amount of chemical knowledge from metabolomics
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disorders, and childhood cancers. We employ high-throughput metabolomics, epigenomics, single-cell multiomics, (epi)genome editing, and preclinical models to define disease-associated metabolic and epigenetic