17 parallel-programming "Intelligent Systems Group" Postdoctoral scholarships in Denmark
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, and innovation. Our research spans signal processing, machine learning, digital twins, and intelligent systems — all with a strong emphasis on real-world impact and societal relevance. This
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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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Are you interested in data-driven modelling and optimisation of District Heating Systems and can you contribute to the development of our Villum Synergy project, “ Recycling waste heat: Graph-based
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in professional scientific basic research. You can read more about the department here and about the faculty here . About the research project Candidates will be part of a research group investigating
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design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed-term position of three years, including
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Jutland. The goal of the project is to develop a state-of-the-art digital tool for assessing and designing current and next‑generation pyrolysis plants and their interaction with CCUS and PtX systems. In
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Human Augmentation and Collaboration research group, an active and supportive research group focused on designing and evaluating interactive systems that extend human capabilities in digital
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will be postdoc stipends in the following specific areas/centers of the department: * Algebraic and arithmetic geometry, applied algebra, combinatorics, geometric group theory, geometry and geometric
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nanophotonics who are highly motivated and eager to pursue world-class research in theoretical quantum nano-optoelectronics. Experience with scientific programming is expected, while familiarity with numerical