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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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cutting-edge research infrastructure, close supervision by Prof. Spits and Prof. Olsen, plus access to a broad international network of collaborators, a dynamic, supportive, and family-friendly lab culture
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. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta
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of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading experts in machine learning for healthcare. You will also be affiliated to the School of Health
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the US and 11th in the world (Research.com). Our department also hosts The Center for Systems Immunology (CSI), which is focused on the analysis and engineering of molecular and cellular networks
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
movements across the cell envelope, to help inform mathematical models that integrate all of the envelope’s function. Uncovering RNA-RNA Networks in the Regulation of Bacterial Surface Proteins: Bacterial