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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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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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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
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responsible integration of AI code assistants (e.g. GitHub Copilot, ChatGPT, Claude, Gemini, open-source LLMs) in professional software engineering workflows. The research focuses on analysing security and
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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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. Remuneration will be according to the KU Leuven salary scales (https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… ). You will benefit from the strong Belgian social security system as well
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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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(SMRs) are reshaping the future of nuclear energy, offering scalable, safe, and low-carbon solutions. Among these, Lead-cooled Fast Reactors (LFRs) stand out for their passive safety and efficient
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opportunity for diversity among the DCs. We encourage candidates from all continents, applicants with disabilities and minorities to apply. The salary will include social security and be composed of living and
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large international research network. Funding is secured for four years. Contracts of one year are renewable (up to a maximum of three times; and a maximal duration of four years), upon a positive