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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
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. To learn more about these options, please contact the NRC Hiring team using the contact information below. The role NRC’s Herzberg Astronomy & Astrophysics Research Centre is excited to advertise
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, environmental earth science, computer science, data science, atmospheric physics, or a related discipline. Experience in cold regions hydrology or water resources engineering and computational methods is
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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social and ecological data on biodiversity and other benefits of perennial agricultural features. We seek candidates with expertise in landscape ecology, agroecology, agrobiodiversity, ecosystem services
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computational scientists to analyse large-scale datasets using state-of-the-art bioinformatics and artificial intelligence approaches. Prepare manuscripts for publication in leading international journals
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information about the laboratory can be found here Epigenomics Laboratory (EGL) . Project This project is part of a multidisciplinary research program aimed at understanding the epigenetic and clonal evolution