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Integration & Word LearningThis PhD project investigates how attention to multimodal signals contributes to word acquisition. You will analyse: word-learning trajectories across repeated exposures; the role
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teacher education. Using Teach for All as a case-study, the project aims to better understand how and why education polices travel across time and space. While policy mobility is driven by a wide range of
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citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
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. This PhD will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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research project. Advanced command of both spoken and written English is mandatory PhD fellowship to obtain a PhD in Chemical Engineering. We will support you in all aspects in order to successfully run your
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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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PhD thesis within the context of a project funded by the Research Foundation—Flanders (FWO) entitled ‘Lex Climatis: The Translation of Climate Science Research for International Adjudication’ (G055626N
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28 Feb 2026 Job Information Organisation/Company KU LEUVEN Research Field Juridical sciences » Fiscal law Researcher Profile First Stage Researcher (R1) Application Deadline 19 Mar 2026 - 23:59 (UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep...
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background in the topics related to this PhD position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills