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realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based algorithms to other
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poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth. The project aims at three significant academic contributions: (1) to explore and map out
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(deep neural networks) Probability theory Computer vision Robotics Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidate has experience with: Bayesian machine
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project participants is expected to ensure synergy between the sub-projects (Ph.d.-student, PI and postdoc) through method and theory development and a special issue on sleep. Department of Media, Design