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Europe | 16 days ago
Lisboa (Iscte)Research Field: Electrical Engineering, Physics, Computer Science, Applied Physics/OpticsResearcher Profile: First Stage Researcher (R1)Application Deadline: 26 August 2025 – 23:59 (Lisbon
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vacancy of a technical nature, please contact Prof. E. Mastorakos (em257@eng.cam.ac.uk ). If your query concerns the application process, please contact: Mrs Kate Graham, email kag1000@cam.ac.uk . Please
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on experimental investigations of MILD combustion. The post holder will be located in Central
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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all of the topics listed above. Informal enquiries related to the position should be directed to Prof Ben Glocker: b.glocker@imperial.ac.uk For queries regarding the application process contact Jamie
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is funded in association with the Lero Research Centre and the Immersive Software Engineering programme. Faculty: Dr. Roisin Lyons - Kemmy Business School; Prof. Chris Exton – CSIS; Dr. Clare
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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obtaining) a PhD in Chemistry, Materials Science, Engineering, Physics or relevant technical discipline. To perform the role, the applicants will additionally need to have excellent presentation, technical