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), using large-scale real-world data. This PostDoc position is part of a ZonMw-funded project on long-term risks in patients with post-COVID compared to individuals with similar complaints after other viral
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Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
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at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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Architecture Unit (CSA) at imec is researching next-generation large-scale heterogeneous computer architectures. The team is responsible for workload characterization, runtime management, performance modeling
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quantitative methods to analyse large-scale datasets and generate insights that influence policy globally. Key responsibilities include: Leading international research: Conducting high-quality studies with a
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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, data science) can also apply Experience with conducting meta-analyses (methodological and field-specific knowledge) Experience managing large and complex meta-analytic datasets Ideally, knowledge