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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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latency-sensitive mobile services for a digitalised society), a research profile funded by the Swedish Knowledge Foundation: https://www.kau.se/en/cs-drive . Within DRIVE, we investigate high-performance
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emerging research field that uses machine learning, data analysis and computational modelling to guide the discovery, characterization and optimization of new materials. By accelerating innovation cycles, AI
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September