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at various levels. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. Within this context we invite
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AI systems are increasingly used in high-stakes decision-making, such as healthcare and hiring, yet they often reinforce societal biases, leading to unfair outcomes. While human oversight is
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the supervision of Dr. ir. Raffaele Sommese and Dr. ir. Mattijs Jonker from DACS and Dr. Abhishta Abhishta from the High-tech Business and Entrepreneurial (HBE) https://www.utwente.nl/en/bms
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at the very top of our game in research, technology, and economics, they will. And while the highly-publicized wave of high-frequency or “flash” trading based on sheer speed of execution might have reached its
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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toward green steel. To ensure that the steel produced by new processes is viable for industrial applications, it is crucial that these properties can be predicted with high precision. Position description
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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toward green steel. To ensure that the steel produced by new processes is viable for industrial applications, it is crucial that these properties can be predicted with high precision. Position description
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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parameters can be measured, such as thermal conductivity, density, specific heat, and dynamic viscosity. For the measurement of gas flows, (micromachined) thermal flow sensors are often used because