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, system engineers and AI researchers, with access to state-of-the-art simulation tools, design software, and prototyping infrastructure. You will join the Brussels Photonics (B-PHOT) large research group
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, visual, and digital sources, itstudies how repertoires of resistance evolve and travel. This includes the study of ‘everyday resistance’, ‘constructive resistance’, ‘reverse discourse’ and ‘networked
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bio-cementation. The central hypothesis is that microbial mineralisation can lead to the formation of calcium-based crystals in or on the mycelium network, creating a reinforcing matrix that increases
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infrastructure and travel budgets. You will have the opportunity to attend international conferences and build a scientific network. For more information, please contact prof. dr. Simon Vandevelde, mail
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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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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
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also takes up a limited amount (approx. 10% of the time) of teaching activities. The remuneration is generous and is in line with the standard KU Leuven rates. It consists of a net monthly salary of
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thesis in the field of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously
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this additional qualification.-You have strong skills in statistical, econometric and quantitative data analysis and have experience with statistical software packages; furthermore, you are keen to develop
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prepare and defend a doctoral dissertation. Within the framework of the FWO SBO interdisciplinary project DINEMO (Distribution Network Management Optimisation), which aims to address systemic bottlenecks