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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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communication and organization skills are warranted. Given the size of the project, we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control
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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