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for predicting dialogue understanding across different audiences, devices and listening environments. It aims to produce a quantitative Dialogue Understandability Rating that reflects real-world viewing
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journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic
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the needs and well-being of building users at the core of system design. Listening experiments and perceptual studies will be conducted to better understand user preferences, individual differences, and the
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career for everyone at the University of Edinburgh. We can offer opportunities for you to develop in your career and make a real difference in the communities around us while contributing to the world
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-ahead, intraday, and balancing markets to maximize socio-economic value while respecting system security and reliability constraints. Different approaches can be explored, such as integrating
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understand how AI can be used safely and reliably in decision-support tools for the energy sector. The enhanced framework will be tested on Nordic hydropower use cases, including long-term and medium-term
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of materials are fed into the machines at the same time. These may include virgin materials from different suppliers, recycled content of varying quality, colourants, stabilizers and other masterbatches
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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-based electrocatalysts is considered a plus. Electrolyzer testing, reactor design, electrochemical system optimization. Operando characterization such as XRD, Raman, FTIR/ATR-SEIRAS, XAS, and EQCM
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 11 days ago
geochemical, hydrogeological and geophysical investigations. Well-characterised SGD sites in the Baltic Sea will serve as natural laboratories for developing and testing monitoring approaches using