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We are seeking to appoint a Research Fellow who will contribute to NTU’s mission of advancing cybersecurity and trustworthy AI, with a focus on threat intelligence for underground ecosystems, large
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor
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(ML). This position offers an exciting opportunity to develop and apply cutting-edge computational approaches to large-scale biomedical datasets, with a focus on advancing precision medicine in cancer
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and evaluate public health interventions in development. The postdoctoral fellow would have access to multiple large-scale datasets through this project and can ask content questions that fit
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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be carried out employing high-power lasers at large-scale facilities both within and outside the UK. The candidate is expected to be an active member of the research team responsible for planning and
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agents’ capabilities and information flows. Second, we will investigate the use of modern AI techniques to accelerate large-scale formal verification, including AI proof agents for maintaining, extending
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bioinformatic preprocessing pipelines for large-scale biological data is an advantage. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop