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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving
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engineering Chemistry Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 May 2026 - 23:59 (Europe/Brussels) Country Belgium Type of
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
Madrid (Spain). • Ability to enrol in an official PhD programme in Spain. • Interest in numerical simulation, machine learning and clinical applications of focused ultrasound. • Availability for conference
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will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato, other members of the Cambridge Machine Learning Group (mlg.eng.cam.ac.uk ) and
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emergency responders. By combining global landslide data, innovative machine‑learning methods, and new ways of representing runout, the research will produce faster and more reliable nowcasts for use
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, aiming at improving the information extraction and the of icy planetary bodies subsurface by radar sounder data processing. The selected candidate will be expected to develop novel machine learning methods
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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. Together, these mechanisms strongly influence the long-term behaviour and durability of these engineering plastics. This PhD project aims to investigate the mechanisms governing the long-term evolution