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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research
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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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Network Intrusion Detection – develop new methods for identifying and mitigating malicious software and activity across digital systems and networks. Securing the Internet of Things (IoT) – design and
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, network analysis, and causal inference methods. Rather than focusing solely on task automation, the project will investigate how labour markets adapt (or fail to adapt) to AI-driven shocks, with particular
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Ryckeghem and Dr. Ree Meertens, alongside experts in clinical psychology, sleep research, CBT for insomnia, and large-scale longitudinal data analysis. These research groups offer an international, productive
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well as good knowledge in written and spoken English is a requirement. Merits are: Experience with environmental data analysis and quantitative methods, with programming experience in one or more languages such
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spanning immunology, omics, imaging, bioinformatics, and disease modeling Training in state-of-the-art technologies, including single-cell and spatial omics, advanced imaging, computational analysis, and in
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analysis, we will investigate the cardiac immunometabolic network regulating cardiac fibrosis. Additionally, the candidate will have the opportunity to apply for grants supporting further research work
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system analysis . Rigorous formal methods will ensure that learnt machine learning methods and the resulting systems are indeed resilient, aiming at improved dependability and trustworthiness. Formal
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applications for surface analysis, including the production of Digital Elevation Models (DEMs); Experience using AI/ML methods for data collection, analysis, and intelligence development; Experience developing