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Intelligence, Biomedical Engineering, Electrical Engineering, Computational Engineering. Excellent communication skills, proof of excellent command of the English language (e.g., IELTS or TOEFL, English language
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Newsroom News, research and experts from the University of Melbourne Science and the Environments Rising sea levels could cost Australians at least $855 billion by 2100 15 Sep 2026 Professor Graeme
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
referees, should be sent as a single pdf file (no more than 10 MB) via email to [email protected] until 7th of August 2026. More information: https://www.uni-wuerzburg.de/en/rvz/news/jobs-and
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others. A Master’s degree (or completion before September 2026) in Computer Science, Artificial Intelligence, Applied Mathematics, Hydrology, Civil Engineering, Actuarial Science or a related field; Strong
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on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra-low-power intelligent processing through event-driven
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section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also
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. This is a four-year doctoral appointment. You will be jointly supervised by Dr. Pedro P. Vergara (Associate Professor) and Prof. Peter Palensky (Chair IEPG). You will be a member of the section Intelligent
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are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what
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. Peter Palensky (Chair IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer
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susceptibility, and health outcomes. Using advanced computational, statistical, and artificial intelligence approaches, the candidate will analyze genomic, epigenomic, transcriptomic, and clinical datasets