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-agent systems, mathematical modelling, formal verification methods, stability metrics, agentic AI and data analytics are an advantage. Experience with large datasets, real-time systems, and integration
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PhD degree is required. Develop protocols for real-time phenotyping of NUE-related traits using the TraitFinder phenotyping system. Build and validate digital twin models using 3D point cloud and
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 18th August 2025 Languages English English English PhD-/Postdoctoral Research Fellowship
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Comoros Islands were the earliest locations of contact between African, Middle Eastern and Southeast Asian populations in the Swahili Corridor, as reflected in the Comoros Islanders’ rich linguistic
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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collected by different projects that this position will work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge
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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K