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safety. In particular, the candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection
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software engineering or security, solid programming skills, and experience with modern development workflows. Experience with AI-assisted software development and industry collaboration is considered a
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such as the regulation of artificial intelligence (AI), the regulation of online platforms, data governance, cybercrime, etc. Various topics can be proposed, including risk management, online safety
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through training and participation in workshops, courses, seminars, and international conferences. Doctoral training is provided in the framework of the Leuven Arenberg Doctoral School (https
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» Computational mathematics Mathematics » Probability theory Technology » Computer technology Technology » Safety technology Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 22
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Number BAP-2026-106 Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral research in comparative social security law, in particular related to national
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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7 Mar 2026 Job Information Organisation/Company KU LEUVEN Department FAculty of Law Research Field Juridical sciences » Private law Researcher Profile First Stage Researcher (R1) Application
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28 Feb 2026 Job Information Organisation/Company KU LEUVEN Research Field Juridical sciences » Criminal law Researcher Profile First Stage Researcher (R1) Application Deadline 19 Mar 2026 - 23:59
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conferences and networking. Funding is secured for 4 years. KU Leuven offers a stimulating environment for international students and support for young scientists in their career development. For more