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Field
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circuit behaviour, and active device characteristics. Prior exposure to power amplifier design, load-pull techniques, or nonlinear/behavioural modelling is considered an asset. Experience with RF/microwave
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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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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performing experiments and numerical modeling of plasmas to quantify, for instance, the radiative properties of the plasma, how many fast-moving ions are produced, as well as the efficiency of converting input
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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, Environmental Physics, Physical Geography, Urban Design, or a related field; Experience in atmospheric numerical modelling (e.g., RANS, LES) and scientific programming and GIS tools — or strong motivation
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
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of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year position, which could potentially
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https