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Field
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opportunity to learn, develop and apply a range of cutting-edge modeling and computational techniques. You will work in an interdisciplinary, cutting-edge, fast-paced research environment, interact with
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Artificial Intelligence while also improving our understanding of the human brain? Does interdisciplinary research spark your interest? The Artificial Intelligence Lab at VUB university is looking
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are looking for a motivated PhD candidate to join the Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant
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: - Application of several light and electron microscopy techniques to study the infection strategies of archaeal viruses. - Perform protein interaction studies to unravel mechanisms by which viruses induce
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Advanced Grant project FLOW. This project investigates the functional roles of brain oscillations for human cognition (attention, memory, cognitive control), explores how brain and body rhythms interact
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
self-assemble from a number of interacting single-stranded DNA molecules. An accurate prediction of DNA structures still remains difficult, which significantly slows down the development of new desirable
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(attention, memory, cognitive control), explores how brain and body rhythms interact to enable flexible cognition, and tests how rhythmic non-invasive neuromodulation can modulate cognition performances. We
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to find ways to increase profits, and they might do this in ways we didn’t anticipate. This project is about investigating what kind of market equilibria emerge from these multi-agent market interactions
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology