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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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, into the research groups of Prof. Oliver Buxton whose expertise is on turbulence, wind-energy flows, and turbulent cloud microphysics and Prof. Luca Magri whose expertise is in scientific machine learning
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component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge computing is an advantage Excellent programming skills
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applying. General information Contact Informal enquiries should be addressed to Prof. Walter Karlen via email: bmt@uni-ulm.de . For questions about the ENDOTRAIN programme, please contact Programme Manager
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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of equal qualifications. https://www.cee.ed.tum.de/ccbe/ Prof. Dr.-Ing. André Borrmann Chair of Computing in Civil and Building Engineering Technical University of Munich Arcisstrasse 21, 80333 München
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24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Researcher Profile
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reinforcement learning for edge-cloud-based computation. In both cases, vehicles and robots must be able to navigate around obstacles and manage safety constraints along the planned trajectory, even in situations
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secondment(s):•HCT: Dr. K. Schuster M21-26 (6 months duration) “Cylinder drilling, geometrical adaptation towards smaller preforms”•Iscte: Prof. T. Alves M41-M42 (2 months duration) “Experimental demonstration