240 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in Netherlands
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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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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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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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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 at Utrecht
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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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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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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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Investigator (PI), Dr Marzi. Together, you will further develop and refine the PhD case studies, the research approach and the various work packages, as well as analyse data, participate in conferences and