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Field
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funded research projects: (1) a community-based Food Is Medicine intervention designed to improve diet quality and blood pressure among adults with hypertension and (2) a metabolomics project to identify a
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Metabolomics
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Unit, UMR 8199/ U1283 CNRS, INSERM, Institut Pasteur de Lille, CHU Lille, Université Lille) in the “Metabolome, Microbiome and Metabolic Diseases” team and the metabolomic platform IMPACT-PM, directed by
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interactions. The ideal candidate will bring expertise in microbial ecology and microbiome sequencing and/or microbial metabolomics. This researcher would work across multiple projects that aim to understand
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, histomorphometry, immunohistology, spatial transcriptomics, and spatial metabolomics. Where to apply Website https://bonereloaded.github.io/ Requirements Research FieldMedical sciences » MedicineEducation LevelPhD
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. Approaches used include animal studies, spatial transcriptomics and metabolomics, proteomics, ChIP-Seq, µ-CT, immunohistology, histomorphometry, cell culture, and tissue culture. Where to apply Website https
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candidate will bring expertise in microbial ecology and microbiome sequencing and/or microbial metabolomics. This researcher would work across multiple projects that aim to understand the precise mechanisms
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 16 hours ago
teaching activities of Animal Nutrition, 3) Cooperation in research projects with gut microbiome, metabolome and nutrition aspects as well as co-supervision of PhD and Diploma students, 4) Preparation of own
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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions
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transcriptomics, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and