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environment with an open culture, where you can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR Opens
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more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why
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-informed ML Experience working with Linux and HPC environments is an advantage. Strong communication skills and excellent proficiency in English. You enjoy working in an international, interdisciplinary team
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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to ESA’s strategy; a wide network of relationships and collaboration with top academics, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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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, we imagine, invent and create solutions
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Group , and you will collaborate with the Law Group. You will have access to a vibrant interdisciplinary research community and opportunities for professional development through workshops, conferences
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datasets. Within this project most communication will be in English, so fluency in English and excellent communication and organizational skills are essential. You are communicative, well organized
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spacecraft and associated data governance challenges; obsolescence of traditional ways to deploy and sustain ground segment systems; new forms of space communications, such as optical and quantum technologies
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program that connects education, research, and industry to accelerate the green hydrogen transition. UB4H focuses on researching and building innovative learning communities and digital solutions