154 parallel-programming-"Intelligent-Systems-Group" Postdoctoral positions in Denmark
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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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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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Department of Chemistry, Aarhus University in the group of Prof. Thomas Vosegaard. The place of work is Gustav Wieds Vej 14, 8000 Aarhus C. Project goal and tasks We combine state-of-the-art
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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
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programming languages and programming abstractions, including LLM-assisted quantum programming * Quantum intermediate representations * Quantum compilation, including AI/ML-assisted compilation
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programming languages and programming abstractions, including LLM-assisted quantum programming * Quantum intermediate representations * Quantum compilation, including AI/ML-assisted compilation
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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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Security”. The postdocs will conduct research on program analysis within the Programming Languages, Logic, and Software Security research group at Aarhus University. The focus of the positions will be in
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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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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