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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about quantum computing, numerical simulations, and
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suitable learning schemes, and design control policies accordingly. You will use large-scale optimization for the implementation of the obtained results, first using high-fidelity numerical simulations
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on assembling, testing, and validating the prototype inside an SEM. You will compare experimental measurements with numerical predictions to validate the physical models and further optimize the instrument design
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, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer science. A successful candidate will be offered a three
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control. Through
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systems based on absorption high-temperature heat pumps, with particular emphasis on dynamic behavior and system integration. The research will combine dynamic modelling, numerical simulation, and