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interest in experimental fluid dynamics; Excellent analytical and problem-solving skills; Self-driven attitude, creativity and autonomy; Strong written and oral communication skills in English, and
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the full state while the true state is seldom known and can only be reproduced in computer simulations. Therefore, you will explore a novel approach investigating graph neural networks and structural
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together
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Master in Physics, Electrical Engineering, Applied Physics, or a closely related field. Strong background in quantum mechanics and solid-state physics. Strong written and oral communication skills in
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interest in experimental fluid dynamics; Excellent analytical and problem-solving skills; Self-driven attitude, creativity and autonomy; Strong written and oral communication skills in English, and
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skills; Self-driven attitude, creativity and autonomy; Strong written and oral communication skills in English, and collaboration skills. The following will make you stand out: Experience in computational
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. This position is a part of the 'Luchtvaart in Transitie project. You will therefore collaborate with other PhDs and post-docs, and communicate with industrial partners. Within the ASM department there is
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therefore collaborate with other PhDs and post-docs, and communicate with industrial partners. Within the ASM department there is currently a larger community of PhD candidates and post-docs working
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in an interactive, collaborative research environment. You have good English communication skills and a strong drive for academic excellence. TU Delft Delft University of Technology is built on strong