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into wind-to-hydrogen energy modelling and decision-support frameworks. This interdisciplinary approach combines spatial energy modelling, stochastic optimization, GIS-based analysis, qualitative fieldwork
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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. For more information on NIH, visit http://www.nih.no About the Department The Department of Physical Performance contributes through education, research, and dissemination, to an understanding of what
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, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will
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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
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quantum science and -technology, with particular focus on theoretical and computational approaches. Relevant research background includes, but is not limited to, quantum algorithms, quantum optimization
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. The goal of the PhD will be to seek mechanistic insight into the electrode polarization processes as well as strategies for improving performance by optimization of composition, microstructure, and the
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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help industrial firms use operational data in new ways, for example to improve fuel efficiency, support predictive maintenance, enhance safety, reduce emissions and optimize the use of resources. In