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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive
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interconnected across scales that today's modelling tools cannot capture. UTOPYS (Understanding Large and Complex Power Systems) addresses this with a state-of-the-art real-time power system simulator: a large
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lithosphere-scale processes control
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. The role includes implementing developed techniques and algorithms in high-quality software that adheres to group standards and evaluating them on large-scale benchmarks. You will take an active role in
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. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond this research focus
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representation in atmospheric prediction models. The initial appointment is for a term of one year but may be extended upon satisfactory performance and available funding. Job description: Using large-eddy
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological