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aims to integrate analytical tools from international relations, political economy and management and innovation to provide a comprehensive theory to explain the dynamics of competition for access to and
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Control / Estimation Theory Intermediate programming skills in Python and C++ Intermediate level skills and proven experience with PyTorch Working knowledge of ROS and previous experience of handling
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NLP/ML libraries (e.g. spaCy, scikit-learn, Transformers, TensorFlow, or PyTorch). You have experience with collecting, cleaning, and annotating large text corpora. You have excellent command of English
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sets (dynamical system reconstruction), and apply linear control theory to investigate the energy demands of the resulting network architecture. This project will support our goal of testing
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. Applications will be accepted until the position is filled. Job profile The successful candidate will apply linear control theory to existing artificial neural network models of working memory, task switching