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Field
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: The successful candidate will: Analyse Salicaceae metabolomes using advanced metabolomics and bioinformatics; Develop bioinformatic pipelines integrating existing tools to acquire deeper insights
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, and well-characterized phylogeny. Responsibilities: The successful candidate will: Analyse Salicaceae metabolomes using advanced metabolomics and bioinformatics; Develop bioinformatic pipelines
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involve experimental optimisation, leveraging computational tools, statistical modelling, and emerging AI/ML applications to streamline and accelerate the workflow for complex mixtures and metabolomics
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establishing a dedicated Metabolomics Capability for Drug Discovery. The researcher position is available for the development and maintenance of a robust bioinformatics metabolomics data analysis platform
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in bioinformatic metabolomics data analysis The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people
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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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of provenance tracking within the workflow to enable reproducible data analysis, export to mzTab-M format Integration with EMBL-EBI BioStudies and other relevant repositories, such as MetaboLights (metabolomics
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, export to mzTab-M format Integration with EMBL-EBI BioStudies and other relevant repositories, such as MetaboLights (metabolomics) for simplified data storage and submission Collaboration on tool
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various plant and algal species, and follow an interdisciplinary approach, combining molecular biology, genetics, epigenetics, metabolomics, biochemistry, structural biology, biophysics and microscopy with
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various plant and algal species, and follow an interdisciplinary approach, combining molecular biology, genetics, epigenetics, metabolomics, biochemistry, structural biology, biophysics and microscopy with