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-dimensional omics (transcriptomics, proteomics), or comparable large, heterogeneous biomedical data Substantial experience in natural language processing, large language models, information extraction, or text
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visualization of large geospatial datasets. Translating research data and results into applications supporting sustainable water management and environmental monitoring. Publishing in peer-reviewed scientific
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candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data
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