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main responsibility will be to work on research projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses
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projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses and calculations to elucidate their properties. In
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of artificial intelligence and machine learning have put artificial neural networks firmly on the map as a promising approach to both model and understand biological brains. This PhD project aims to harness
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predictive processing in perception. Recent advances in the field of artificial intelligence and machine learning have put artificial neural networks firmly on the map as a promising approach to both model and
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physics and materials sciences, artificial intelligence, computational and high performance computing, and computer hardware and software engineering. Together we aim to develop parallel Markov-chain Monte