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- Delft University of Technology (TU Delft); Published yesterday
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dependence of the critical services and infrastructures such as energy, education, healthcare and emergency services on mobile and wireless networks. At the advanced networking Lab of the Electrical
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EMERGENCE and uncover how language emerges from large‑scale brain networks. Work with cutting‑edge neuroimaging and advanced modelling to reveal the neurobiological principles shaping human language. The ERC
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-affective processes, and contemporary approaches to modelling symptom network dynamics. A central objective of the project is to identify dynamic indicators of reduced resilience and maladaptive stress
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communication. Two postdoc positions are available in the group of Prof. Dr. Stephanie Wehner at QuTech, Delft University of Technology. The group’s mission is to push the boundaries of quantum network technology
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happens in source areas is also essential for interpreting developments in nature reserves. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including
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-lab’s daily activities and research network of European graduate trainees, interns and visiting researchers, as applicable; advance multi-sensor EO threat detection and real-time intelligence fusion using
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sensor, multi buoy array deployed on Lake Victoria. You will explore the field and coordinate with local partners; oversee the integration, testing and scientific readiness of the sensor suite; support
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integrated and functional transmembrane organic ion transporters. Develop a protein-based sensor for intracellular toxin detection. Integrate synthetic cells on dialysis membranes and set the first steps
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explore new ways to build sensors, such as superradiant clocks and collaborate with industry, startups and users to bring quantum technology to the market . This project is embedded in the Quantum Delta NL
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model scenarios, and data which can be used to test the developed models. Measurements will include, for example, water content, and pressure head with local in-situ sensors. In addition we aim to carry