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permanent position as Associate Professor in theoretical or computational quantum science and technology is available at the Department of Physics, under the Faculty of Mathematics and Natural Sciences. More
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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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and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across
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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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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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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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well as strategies for improving performance by optimization of composition, microstructure, and the interface to the proton-conducting electrolyte. The content of the PhD Research Fellowship can be tailored according