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and Metabolomics. Equipped with an advanced genomics platform, its mission is to act as a central nucleus for genome biology research and training in Morocco and Africa. The AGC team comprises
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computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and
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exceptional training opportunities in cutting-edge metabolomics (Orbitrap LC-MS), cancer immunology, and translational cancer research in a collaborative, well-funded environment. Research Focus • Metabolic
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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skills, that advocate for safety and ethics in the workplace. For more detailed information on research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr
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, metabolomics, and bioinformatics analyses to investigate molecular interactions between diatoms and associated microorganisms. The position is part of a broader research program focused on programmable marine
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to core facilities at the Faculty of Health Sciences, providing state-of-the-art technology and hands-on expertise in bioimaging, FACS, proteomics/metabolomics, genomics and animal experimentation
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models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography/public/ Your qualifications should
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, metabolomics, proteomics) is an asset. Knowledge of data harmonization platforms (e.g., Maelstrom Research guidelines) is an asset. Experience with high-performance computing environments (Unix/HPC clusters) is
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-on expertise in bioimaging, FACS, proteomics/metabolomics, genomics and animal experimentation. The postdoctoral fellow will work in a team with local, national and international collaboration partners