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prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr
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, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to train, validate, and
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Deadline 13 Nov 2026 - 14:00 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND Is the Job related to
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quantification. • Experience with scientific machine learning. • Experience with high-performance computing. • Experience with geophysical imaging or environmental applications. Further details/Pūroko
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materials enable sustainable approaches to energy harvesting, neuromorphic computing, and biosensing, with demonstrated potential for high-impact studies (Nature 578:550; Nature Communications 13:4369; Nature
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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required to analyse and improve the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing
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research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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-performance composite fibres with enhanced electrical, mechanical, and thermal properties. The role also develops thermal-management materials for efficient heat dissipation, contributing to advanced materials