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characterization methods; knowledge of photochemistry, redox chemistry, or photocatalysis; experience in device fabrication and testing in organic electronics; good ability to communicate in spoken and written
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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spectrometry, thermal analysis, mechanical testing) Your PhD research will contribute to the development of next-generation bio-based materials from forest resources. Within the GreenPolChem group and WWSC
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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cybersecurity tool development, virtualised networking test beds, application of statistical or AI methods for load monitoring and performance tuning, and anomaly detection are prioritized. Excellent
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technologies. The OEM group is part of the Laboratory of Organic Electronics (LOE) (https://liu.se/LOE ), an internationally renowned research environment comprising more than 150 researchers from diverse
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studies/materials would be conceivable or interesting for you to examine? Which theoretical approaches could inspire your work? Which methods might be suitable? How does the project timeline look over 4
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research within Unmanned Traffic Management (UTM). In this role, your primary responsibility will be the hands-on development of advanced simulations and prototypes that help us test and validate new UTM
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. The role involves contributing to this research project with a focus on model development, implementation, and testing. Further tasks involve dataset curation, analyzing results, and the creation
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data visualisation, for example work with regression models or GLM‑based analyses. Experience with research on dog behaviour and with carrying out behavioural tests is considered an asset. You must have