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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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collaboration with the Max Planck Institute for Plasma Physics (IPP) on the Wendelstein 7-X fusion reactor. You will be embedded in the Quantum and Terahertz Systems (QTS) group of the Department of Electrical
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-supervised across the Institute for Theoretical Physics (ITP) by Dr. Farshid Jafarpour and the University Medical Center Utrecht (UMCU) by Dr. Ganna Rozhnova, and embedded in the Centre for Complex Systems
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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Utrecht (UMCU) by Dr. Ganna Rozhnova, and embedded in the Centre for Complex Systems Studies (CCSS), where you will interact with researchers working on a broad range of complex systems. Your qualities We
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candidate at the Behavioural Science Institute and lecturer in Communication Science Mustafa Akpinar is a PhD candidate at the Behavioural Science Institute and a lecturer in Communication Science. "While
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our research team as PhD
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luminescent properties. This interdisciplinary PhD project is jointly hosted by the chair groups Physical Chemistry and Soft Matter (PCC) and the BioNanoTechnology (BNT) at Wageningen University & Research
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interdisciplinary field of cyber risk modelling and prediction. The project is conducted in close collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, and is embedded within
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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems