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desire to do high-quality research Why TUM? TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation
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for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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awareness, and decision quality. The project will examine how system design, automation characteristics, and regulatory or governance constraints shape human performance and patient outcomes in safety
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spider web in terms of damage-tolerance and the efficiency of energy dissipation. The developed knowledge will provide design guidelines for high-performance materials to meet industrial needs. A hybrid
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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national AI centre led by NTNU. NCEI advances research on how intelligence emerges from the interaction between body, computation, and environment, across aerial, ground, and aquatic robotic systems. The PhD
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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of this project is equity. You will investigate whether existing and newly developed prediction models perform consistently across diverse social groups, including people from different socioeconomic
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, and advanced schools. access to high-performance computing resources and state-of-the-art computational tools. Where to apply Website https://forms.gle/tkVEz36pRVdLUhY78 Requirements Research
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industry. Context and motivation The green energy transition is increasingly digital: it relies on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed