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is engaged in several metabolite discovery campaigns involving mining of large-scale metabolomic datasets to discover novel metabolites associated with human disease, genetics, and dietary exposures
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Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model