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-ranked university, in a laboratory with a established international network. •You will receive a competitive salary in accordance with the KU Leuven scales for PhD students. •You will have the opportunity
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tend to hallucinate facts. By contrast, other AI technologies, such as knowledge graphs and formal reasoning engines, are able to reason reliably, but are less good at handling ambiguity. This PhD
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities
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historians and papyrologists as well as archaeologists and Egyptologists at KU Leuven, in collaboration with other research networks and projects at the university (including Trismegistos+ and ICAG) and beyond
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of supercomputing. However, these type of simulations have been typically driven by idealized boundary conditions that do not represent the complexity and variety of atmospheric inflows that exist in the field. PHD
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, and how these shape access to resources, networks of mediation, and the production of literary value. It applies this focus in an in-depth case study of the Connecting Emerging Literary Artists (CELA
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value the services offered by these centres, stronger scientific evidence is still needed regarding their long-term impact on visitors and their broader societal value. As part of this project, a PhD
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Infrastructure? No Offer Description This PhD position is part of the academic network working on ecodesign, an international research and training initiative. The network aims to advance ecodesign methodologies
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Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-464 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD research is part
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/papyrologists and archaeologists/Egyptologists at KU Leuven, in collaboration with other research networks and projects at the university (including Trismegistos+ and ICAG) and beyond (AGROS). The PhD research