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Field
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: Rare-Earth Materials and Recycling Technologies Sustainable Energy Materials for Green Technologies Quantum Materials for Next-Generation Technologies AI-Integrated Smart Sensors for Environmental and
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emphasizes developing and deploying AI tools—especially vision-based and multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in
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Quantum Materials for Next-Generation Technologies AI-Integrated Smart Sensors for Environmental and Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines
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of the relationship between the characteristics of the roadside area and accident rates, in the development of new methods to support sustainable mobility and logistics, in the installation of sensors
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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Professor Martijn Wubs (mwubs@dtu.dk ), Dr. Jake Iles-Smith (jake.iles-smith@sheffield.ac.uk ) You can read more about the Department of Electrical and Photonics Engineering at https://electro.dtu.dk
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Sr gases for quantum sensing, the study of many-body physics and for quantum computing. We explore new ways to build sensors, such as superradiant clocks and collaborate with industry, startups and
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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
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water pressure observations. This postdoc will work with Dr. Grace Barcheck and lead the passive seismic part of the project, including field deployment of sensors, detecting and locating icequakes
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance