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of organic semiconductors and related devices. This postdoc project will contribute to the development of new doping strategies for tunable and high-performance organic electronic materials and devices Work
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cyclers, potentiostats, and electrochemical workstations for detailed performance and stability characterization of energy storage devices. Work assignments The postdoctoral researcher will conduct
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performance should improve over time as more data becomes available. The diagnostic conclusions will be presented to an operator using a combination of AI-based fault isolation algorithms and data-driven
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coordinated by Professor Simin Nadjm-Tehrani within the Cybersecurity division at Linköping University, and aims to understand the cybersecurity challenges in software-intensive and high-performance
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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex