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Field
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-volatile silicon devices that enable innovative architectures to efficiently execute complex, irregular, and highly dynamic computational tasks. Realising computing systems based on technologies like FeFETs
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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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high-impact journals, and present their work at international conferences. Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific
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high-impact journals, and present their work at international conferences. Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific
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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models
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, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations
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holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses
-
powerful, modern analytical techniques and have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids, to enable the rapid translation of this research