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environmental uncertainty, operational decision support, and the development of optimization and control methods for efficient ship operation. The project may also include advanced approaches such as model
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environmental uncertainty, operational decision support, and the development of optimization and control methods for efficient ship operation. The project may also include advanced approaches such as model
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for the persistence of non-dispersible barite sediment. A detailed understanding of these interactions will enable the formulation of optimized dispersion strategies, potentially enabling rigless P&A operations in
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whether innovative design, additive manufacturing of metamaterials, and numerical optimization can reduce material use without compromising, and ideally improving, protective performance. The position is
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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limits the ability to optimize energy storage use for critical applications like emergency response, grid balancing, and off-grid power supply. The aim of this project is to develop a platform that will
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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the Triassic reservoirs in the North Sea are promising for both hydrocarbons and CO2-storage, the Triassic is underexplored in the Norwegian sector. The geological processes controlling the development
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-partitioning the electrical grid into islands capable of operating autonomously during failure events, managing and optimising the operation of aggregated resources in an island during events (e.g. as a virtual
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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position