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research in vehicle analysis and robotics supports the development of transport systems that integrate safety, energy efficiency, artificial intelligence, and automation across the road, rail, aviation, and
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University
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, of at least two reference persons. The application should be written in English or Swedish, and attached documents should be in Word or PDF format. The application should be registered via Umeå University’s e
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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
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, such as building web interface, web mapping, spatial database, and web services. Experience and expertise in graph-based deep learning for intelligent transportation infrastructure and systems
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electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar
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An example of a popular description of one of the topics of research: https://phys.org/news/2021-10-reveal-formation-state-electron-quadruplets.html Consideration of the applications will become immediate and
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. Documents sent electronically must be in Word or PDF format. The closing date is 3 September 2026. Further details are provided by Dr. Barbara Sixt, [email protected] More information Research environment