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- NTNU - Norwegian University of Science and Technology
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future
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scenarios, foresight, simulations, serious games, or other futures-oriented interventions affect capacities for anticipatory and long-term governance developing and evaluating educational or professional
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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, including industrial applications in geology. Your immediate leader will be the Head of Department. Duties of the position Simulate MRI data and model disturbances arising from various physical sources
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product
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loads, resulting in highly nonlinear coupled hydrodynamic and structural behaviors. High-fidelity CFD-FEA based FSI simulations provide valuable insight but remain computationally expensive for large
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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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for changes in your work tasks after appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307999/phd-research-fellow-in-gr… Requirements Research FieldTechnology » Environmental
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient