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22 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 17 Apr 2026
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courses) that are relevant for this topic, or M.Sc. degree within Computer Science, Electrical Engineering, Information and communication Technology, Engineering Physics or Engineering Mathematics
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28 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Centre for Mathematical Sciences at Lund University, Faculty of Engineering
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Automation , IEA, LTH, Lund University. We conduct cutting-edge research and education on how electrical energy systems can be developed for a sustainable future, not least regarding technology and systems
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for Mathematical Sciences. The Centre for Mathematical Sciences is a joint institution for the Faculty of Engineering (LTH) and the Faculty of Science (N) at Lund University, bringing together all mathematical
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(M.Sc. level courses) that are relevant for this topic, or M.Sc. degree within Computer Science, Electrical Engineering, Information and communication Technology, Engineering Physics or Engineering
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
of Engineering, Science, and Medicine. It also operates Lund Nano Lab, a state-of-the-art cleanroom for the synthesis, processing, and characterization of semiconductor nanostructures. Being a doctoral student As a
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning