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on the seismic performance of structural components. - Develop consequence models for various structural systems to demonstrate the real-world application of the unified database. - Design and
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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measurement science research in robotics, advanced autonomy, and artificial intelligence systems. Utilizing deep learning, large language models (LLMs), reinforcement learning, and unsupervised machine learning
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compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand response, transactive energy peer-to-peer trading, and
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical
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opportunity This position is a fixed term appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their
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will be required to provide a mass value and model-based uncertainty using multiple methods to cross-check. These methods may include mass spectrometry and inertial balance development and prototype
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of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
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browser and try again. UiO/Anders Lien 30th June 2026 Languages English English English Postdoctoral Research Fellow position in Ice sheet modelling Apply for this job See advertisement About the position
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, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis