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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent in complex engineer-to-order shipbuilding. Realizing the full potential
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh
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will be integrated into the research activities of the Centre for Research-based Innovation SFI‑CELECT : Industry‑oriented Research Centre for Effective Engineering and Learning in Complex Systems. You
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climate influences. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including
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of artificial intelligence in complex decision-making processes. Hosted by the Norwegian University of Science and Technology (NTNU) and SINTEF aiD bridges technological, organizational, and human-centric gaps
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of the candidate is to fabricate and characterize wearable optical metasurfaces and photonic crystals. Main focus will be the understanding of the complex interactions of light with photonic devices as
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of impact coverage and model complexity. However, there are still some impacts that remain uncovered and details to existing impact categories can be continuously added. This PhD position aims to investigate