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the fields of cybersecurity, crises, intelligence, terrorism, war, violence, and diplomacy. ISGA is characterized by high-quality, interdisciplinary education and the development of scientific knowledge with a
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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 “RIPLEY,” led by Dr. Cosimo Della Santina. The project
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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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(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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Specific Requirements What you will be contributing We are looking for applicants with a background in data-driven environmental science, which have affinity with stakeholder interactions. Applicants should
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tools for speech disorders, real-time language processing for human-robot interaction, and adaptive content generation in augmented and virtual reality environments. The project combines algorithm design
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive