17 phd-learning-"https:"-"Ikerbasque---Basque-Foundation-for-Science" PhD positions at KU LEUVEN
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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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related to staff position within a Research Infrastructure? No Offer Description A PhD research position is available at KU Leuven, Department of Electrical Engineering (ESAT), division Processing Speech
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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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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
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data
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Sciences at KU Leuven (e.g. thesis supervision, exam grading, etc.) in Dutch and/or English. You hold a Master’s degree in Law, with a specialization in ICT law. You are eager to learn and fascinated by
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, 2026, and pending a positive evaluation by your PhD committee after 1 year. Remuneration will be according to the KU Leuven salary scales (https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information
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amotivation. A key responsibility, together with a second PhD student, will be to recruit patients with early psychosis and develop new tasks assessing approach-avoidance using Virtual Reality and experimental