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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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-learning-based intrusion detection mechanisms based on collection of network telemetry/observability data in the CPS testbed. The role involves close collaboration with networking researchers integrating
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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing
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offers an unusual opportunity to work at the intersection of Isabelle/HOL, the seL4-verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally
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scientists. The NOMIS-ISTA Fellowship Program provides postdocs with the freedom to work on big unanswered questions and high-risk research at the intersection of two or more scientific disciplines. ISTA
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maritime networks from the sixteenth to the nineteenth centuries. It will bring together large quantities of previously fragmented archival evidence from across Europe to reconstruct patterns of maritime
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who are interested in
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conducting systematic literature reviews, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct
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the development of seaborne trade, shipping and maritime networks from the sixteenth to the nineteenth centuries. It will bring together large quantities of previously fragmented archival evidence from across