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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project
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will also be part of the Neural Control Project, which is a collaboration between Maastricht University and Radboud University. You will work closely with leading researchers in machine learning
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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September 2025 Apply now Methane is a potent greenhouse gas, and reducing its emissions is essential to meet Paris Agreement goals. Future emissions from ecosystems depend on their environmental response
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Engineering Laboratory, we develop model-based methods for designing and controlling ultra-precise systems. Building on the Dutch design principles legacy of van den Hoek, Koster, and Soemers, we specialize in
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
Vacancies PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems Key takeaways The RS-group and Electromagnetic Compatibility Group within
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. Please note: a good command of the Dutch language is an essential requirement for this role. Your tasks and responsibilities as a Research Assistant in Product Quality include: Organising and conducting
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and simulation techniques to reduce food waste and make food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you
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your command of the English language is expected to be at C1 level . Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information
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real-world applications? Are you fascinated by how the local dynamics of nearest neighbour models can determine the macroscale behaviour of a system? Do you want to understand how matter self-organizes