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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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The Faculty of Engineering, Department Electronics and Informatics (ETRO), research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher
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Prof. Nikos Deligiannis, with a strong focus on innovation-driven research around artificial intelligence for autonomous systems, cooperative autonomous ground and aerial vehicles, intelligent sensing