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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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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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the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with
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here and about the faculty here . About the research project Candidates will be part of a research group investigating the immune aspect of the neurodegenerative process in Parkinson’s disease. The
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algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems. The project focuses on the intersection of deep reinforcement learning
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the research group of Lukas Esterle, which works on autonomous decision-making for collective behaviour in multi-robot systems, with particular strengths in autonomous coordination, multi-robot
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, autonomous systems and digitalisation, in close collaboration with industry. You will join the research group of Lukas Esterle, which works on autonomous decision-making for collective behaviour in multi