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Field
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group working on nuclear fuel performance, uncertainty quantification and advanced computational methods for nuclear engineering applications. The group combines physics-based fuel-performance codes with
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of faithfully reproducing the city behaviour through the use of advanced modelling, data science, and AI techniques. One of the key foreseen applications of Urban Digital Twins is to predict the evolution
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to understand and predict biologic effects of particle radiation based on underlying physics, biology and physiology. Within the framework of the research project PIANOFORTE-PRESTO (PRoton therapy Enhancement by
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complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly complex dynamic system. Minor disruptions can lead to major delays
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also include generative or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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for individual careers are uneven and hard to predict. Employees face open questions about which parts of their work will remain theirs and whether they can realistically acquire the skills that will matter next
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, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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-pulse laser micromachining facilities to develop crack-free laser texturing strategies for ceramic materials. Establish predictive models linking laser processing conditions to feature geometry and crack