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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners
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financial synergies with other funding channels, for optimal deployment of research resources. You explore opportunities for broader communication. You co-edit a book publication and act as a liaison between
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, their modelling through mathematics and numerical simulations, and their control and optimization. Our belief is that a proper understanding of systems requires a modelling step, which allows to identify causal
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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wide range of academic fields, Ghent University is a logical choice for its staff and students. PROJECT Cross-talk: Modelling the crop-climate dialogue to optimize resources, production and quality in
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to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners to integrate immunology, stem cell technology, and
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ERC-funded pioneering research line at the interface of neuroimmunology, stem cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models