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Click to add the job to your shortlist Send job Job Details This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over
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Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | 16 days ago
measurements over tens of kilometers, offering the potential for seismic monitoring over large areas. This research is conducted within the RUBADO project (BMWE, FKZ 03EE4076A), in which DAS is deployed
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. Improving our ability to image and monitor the subsurface is essential for applications in infrastructure management, environmental monitoring, climate adaptation, and sustainable urban development
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-6G dynamic electromagnetic field environments (Research group WAVES) - Function description Monitoring of electromagnetic (EM) fields of legacy and 5-6th generation (5G and 6G) wireless networks is
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for EEG monitoring studies. Prepare animals for surgery, including anesthesia induction, surgical site preparation, and perioperative monitoring. Administer and monitor inhalant and injectable
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develop solutions for increased preparedness and situational awareness leveraging satellites and UAVs, for climate and environmental forecasting and change, and for asset and infrastructure monitoring. We
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analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description Control Engineering and Instrumentation are growing in
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
conservation. Its research combines architectural design, environmental assessment, digital methods, full-scale experimentation, building-performance monitoring and participatory approaches, with a
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, natural history collections, long-term biodiversity monitoring, image analysis, climate data and ecological modelling. The doctoral researcher will work closely with Principal Investigator Ellis and will
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turbines. The research will combine physics-based modelling, artificial intelligence, structural health monitoring and real-time data integration to improve asset reliability and predictive maintenance