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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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different strain rates. You will investigate deformation mechanisms, strain localisation and damage from quasi-static to dynamic loading. A central challenge is developing optical testing methods that remain
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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30th September 2026 Languages English English English We are looking for a PhD candidate in Structure-preserving Generative Modeling Apply for this job See advertisement This is NTNU NTNU is a broad
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
models will form part of a larger simulation enviroment that evaluates the airspace of the future. The research should consider: Model development: + Characterizing the key performance differences between
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. The first one will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector
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-ahead, intraday, and balancing markets to maximize socio-economic value while respecting system security and reliability constraints. Different approaches can be explored, such as integrating
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related