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learning-powered algorithms as well as hybrid approaches, combining either reinforcement learning or deep learning (Graph Neural Networks) with human-based modelling, for fully flawless and autonomous method
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. Joerg Hoffmann at University of Saarland. 2) 1-2 PhD students working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on the topic of developing novel approaches for learning, compressing, and
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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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be employed as a PhD researcher within the ‘Youth Justice’ research line at the Leuven Institute of Criminology (LINC). You will work in close collaboration with us on your own PhD research, which will
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BAP-2026-226 Is the Job related to staff position within a Research Infrastructure? No Offer Description The empirical banking PhD project will address emerging challenges for the banking sector in
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and dynamic work and learning environment, with excellent research facilities, in which you acquire expertise as a researcher with the aim to obtain a PhD. During the process, you will work together
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anticipate, prepare for, or respond to disruptions that originate deep in their upstream network. This PhD project aims to develop a formal framework for supply chain visibility and resilience using tools from
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funded by a EU programme Reference Number BAP-2026-230 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will work on next-generation
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applying different multivariate calibration strategies and machine learning approaches. Finally, the variation of the sensor measurements will be studied in relation to the cow’s health and combined with