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Company description NUMA is a research section within the Department of Computer Science of KU Leuven, with 12 permanent staff members and approximately 60 PhD and postdoctoral researchers. NUMA
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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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(before start-date of the position) a PhD degree in computer science (or a closely related field) Proficiency in English is required. The candidate should have strong expertise in combinatorial optimization
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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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forces. It is your task enable low-cost, large-scale biosynthesis of plant-AMF signaling compounds via microbial cell factories and synthetic biology together with the UGent PhD-student (WP3). These plant
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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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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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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