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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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processes and/or optimization. Specific experience with sampling methods for Bayesian is highly appreciated. Experience with cardiac electrophysiological modeling is a plus. Candidates should have experience
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on the development of experimental biopharmaceuticals in oncology. You will be responsible at completing the data package that is required for technology transfer at optimal valuation. You will work in the
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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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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
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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 the publisher and the various
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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 the publisher and the various
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-AMF signaling compounds are essential for optimal fungal colonization of the plant roots. They will be identified by other partners and we will establish their heterologous production in microbial cell
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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