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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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, University of Oslo. The positions are a part of the project ‘The Mathematization of Nature: The Origin of Mathematical Physics in Plato and Early Pythagoreanism’ (MatNat), funded by the European Research
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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‘The Mathematization of Nature: The Origin of Mathematical Physics in Plato and Early Pythagoreanism’ (MatNat), funded by the European Research Council (ERC Advanced Grant, 101199790). More information about the project
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systems to adapt and learn from data - identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, 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