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computer vision? Would you like to apply AI and machine learning for fundamental research in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will
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in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will help us develop new, innovative methods to extract knowledge from immune cell
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aspiring computer science researcher interested in deep neural networks? Do you want to understand the fundamental limits of machine learning? Then you have a part to play as a PhD candidate. By
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of the AI "black box"? Then come and join us as a PhD candidate to explore and innovate energy-efficient methods for machine learning training. Artificial Neural Networks (ANNs) are driving new applications
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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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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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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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2024 Apply now The last decade has witnessed a paradigm shift in how we view perception and cognition. Brains are increasingly thought of as prediction machines. Come and join us as a PhD candidate to
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have experience in quantitative analysis of cognitive performance data. You have a demonstrable affinity with using mathematical models and/or machine learning methods. You are experienced at programming
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of visual decision-making, sensory uncertainty, and decision confidence. Research methods include computational modelling, brain imaging (fMRI, MEG), machine learning, behavioural methods, and other