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We are seeking a highly motivated PhD student to work on stable CO2 hydrogenation catalysts using atomic layer deposition. Within the endeavour of the energy transition, it is essential to develop
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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periods without wind and sun may lead to extreme electricity prices, which consumers are unable to hedge in current retail electricity markets. At the same time, capturing the value of consumer flexibility
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costs. Enhanced Data Quality: HDR ensures that the data captured is of high quality, regardless of varying lighting conditions. Cost Efficiency: Reduced power consumption and extended sensor life lead to
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well as the likelihood of partial discharge initiation. Presence of partial discharges accelerates the aging process even more and results in rapid degradation of insulation systems, which can lead to unexpected short
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. Thorizon, Seaborg, Copenhage Atomics). In a Molten Salt Reactor, solid fission particles tend to sediment on a surface, such as the reactor vessel and heat exchangers, deteriorating the properties
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/ Write, submit and present related articles to relevant journals and conferences. This research programme should lead to two areas of innovation. First, you will advance research on urban economic
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to maintain moral agency when interacting with an AI. The results will lead to coordination guidelines for human-AI-teams in crisis response that detail which processes to automate, and under which
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tire noise of nearby vehicles, or even electric vehicles that are required by law to emit a recognizable sound when driving at low velocity. Using sound as an additional sensor can lead to safer
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oscillations with a broad frequency spectrum, decreased system strength, and low inertia. This raises important questions on how the system will deal with such a new normal that may easily lead to emergencies