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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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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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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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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments
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characterization; has interest in the material characterization (DSC, TGA, DMA, rheology, …); has a strong interest to investigate structure-property relationships of the synthesized polymers for several
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to the specific local positive energy districts (PEDs). A PED generates more renewable energy than it consumes. But creating such a district is not just a technological task. It requires smart collaboration between