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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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Explainable AI for Crowd Dynamics: Predict and Assess Risk with Data. Join us to develop AI models for better decision-making in crowd crisis management. A major challenge in crises is the
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Fundamental Insights in Bubble Detachment Mechanics to Develop Micro-Structured Electrodes Challenge: Improve the efficiency of hydrogen production. Change: Develop advanced numerical techniques
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strong collaboration between industry, research institutes, and universities is needed to develop and implement novel technologies to achieve this target. In response to this challenge, TU Delft recently
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. Successful candidates will develop novel methodologies and protocols for increasing the security of lattice-based cryptographic systems. Examples include developing techniques to build efficient and secure
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drivers, DC-DC converters, and other related applications. The goal of this research is to develop advanced sensing technologies that can monitor system operations in real-time, offering numerous benefits
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to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission
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where we can develop our skills as a scientist, team member and teacher. We place great emphasis on a collegial working environment where everyone is welcome and encouraged to shape their PhD track. We
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Do you want work on the next generation of consumer-centric electricity markets? Do you have solid quantitative and analytical skills that you want to develop further in an international setting
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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