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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
Moller Institute, University of Southern Denmark (SDU), invites applications for a 3-year PhD position on reversible programming languages and their use for energy efficient cyber-physical systems. The
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PhD Stipend in Intelligent Industrial Energy Systems, Physics-informed AI, digital twins and advanced control Apply Vacant position PhD Stipend in Intelligent Industrial Energy Systems, Physics
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setting: how do we write software in reversible programming languages for systems where energy matters, and how much energy does this save? The setting is low-energy computations for cyber-physical
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computing, sustainable software systems, and AI-assisted software development. More information about the SustainAI research group is available at: https://sustainai.sdu.dk/ We encourage applications
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debt management, cloud and edge computing, sustainable software systems, and AI-assisted software development. More information about the SustainAI research group is available at: https
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Tenure-Track Assistant Professor / Associate Professor in AI-Driven SW Specification, Development...
Software Engineering Group at the SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. SustainAI is part of the Section of Artificial Intelligence, Cybersecurity, and Programming
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PhD in Quantum Computing for Power Systems Apply Vacant position PhD in Quantum Computing for Power Systems Aalborg Deadline : 30.10.2026 Department: Department of Energy Ref number: 2026/1211
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communication. The research will study how radio signals and multimodal sensor observations can be jointly exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous
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and hands-on skills Preferred skills: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by
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, demonstration, documentation, and simulations, sustainability assessments, etc. Research areas include: • Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain