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future of sustainable materials and technologies! Information and application Are you interested? Send your application before March 31, 2026 via the provide button and should include: Personal motivation
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies
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MIVD is required. For this reason, the candidate will undergo a security investigation. More information about the security investigation can be found here: Veiligheidsonderzoek | AIVD Opens external
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working
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travel. Support the municipality of Helmond in pilot implementations to enhance cycling, encourage more walking and reduce the life expectancy gap amongst neighborhoods through interventions. Information
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services (approximately six months). Candidates are also expected to spend a small number of hours on teaching duties. For more information about the PhD trajectory in general, please contact Suzanne van de
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies are always set. Non-essential and non