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mechanisms for information processing and learning, potentially inspiring novel paradigms that advance beyond traditional (silicon) computing. This PhD position aims to understand and advance in vitro neural
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combined numerical and experimental approach will be adopted, exploiting testing facilities available at the two institutions (e.g. furnaces at ULiège, radiant panel at UGent) and at partner
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Flanders Hydraulics. Our team, the Coastal Engineering Research Group at Ghent University, leads the hydrodynamics component of the project through numerical modelling, wave-flume experiments and field
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, materials science, and high-temperature processes. Experience with high-temperature experiments, numerical modelling, programming (e.g. Python, MATLAB, C++), or materials characterization is
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against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and proficiency with modern machine learning frameworks are required. We seek a
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DECIDE research team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate
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is not required in all domains: wet lab work with hydrogels or complex fluids, advanced optical or X-ray imaging methods such as micro-CT, microfluidics, or rheometry. You have, or are willing to
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. More information: https
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) source corpora. These developments make it possible to compile a consistent dataset for the systematic study of nationalist agitation. Computational methods - such as GIS mapping, network analysis, and
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candidate (DC) in the network, here DC6, to infer protein-protein interactions involving microproteins. Validate high-confidence interactions in vitro using biophysical methods such as biolayer