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Field
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7 May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in
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, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization
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The Nuffield Department of Clinical Neurosciences (NDCN), University of Oxford, is seeking a Postdoctoral Neuroscientist to join the Sharott Group at the Brain Network Dynamics Unit (BNDU) and the
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models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems. The Postdoctoral Research Associate will perform basic and applied research
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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the IRIS Network AI and Sensing Research Group The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAPT research centre
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
10 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group
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, signals, measurement data, and biomedical data. Current research topics include: causal analysis in time series complex systems and networks, chaos, and fractal-based methods, EEG analysis, computational