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development and data interpretation in collaboration with experimental scientists. Key responsibilities Integrating multi-omics data (genomics, transcriptomics, proteomics, metabolomics).Data processing and
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genomics, transcriptomics, proteomics, and metabolomics. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Utilize and fine-tune genomic foundation models
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microbial interactions, metabolism, ecology, and (meta-)genomics. This is what you will do The focus of this project is on the inference of causal relationships based on microbiome, metabolome, transcriptome
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, epigenome, and metabolome to discover biomarkers of vaccine efficacy and new biological insights about the human immune system. The successful candidate will both lead and collaborate on projects aimed
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of thyroid disruption. High-throughput omics technologies (e.g. transcriptomics, metabolomics, proteomics) will characterise molecular responses. The anticipated outcomes of this research include
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chemicals and metabolomics data. Potential topic areas include maternal metabolomics, child growth, puberty, and neurodevelopment. The Post Doctoral Associate’s day-to-day work will include database
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fungi through a metabolomic approach (using liquid chromatography coupled to high resolution mass spectrometry – LC-HRMS). This part of the project will focus on induced chemical novelty along with
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, this language can also be perceived by parasitic nematodes. You will uncover how this language is created from plant side through transcriptome and metabolomics data analysis and biochemical characterization
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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innovative analytical methods for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics