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limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading
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at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, within the interdisciplinary research project DECODING ADDICTION – Unraveling Individual Variability to guide Prevention, part of the UiO
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nanoparticles. 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
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of the structures, and reinforcement learning methods for optimizing the structures for particular applications. An underlying motivation is to understand the internal representations developed by the machine
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properties optimized as selective oxygen carriers advanced characterization of surface and bulk kinetics — isotope gas‑phase analysis and electrochemical methods studies of surface micro-, defect- and
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, optimizing, and advancing the understanding of chemical and acute non-kinetic threats, as well as medical countermeasures for safe and effective prophylaxis or treatment against these diverse challenges