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- Delft University of Technology (TU Delft); yesterday published
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. A prominent research area at the UvA is Artificial Intelligence. The UvA is part of the AI Technology for People initiative, where it teams up with several other key players within the Amsterdam
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levers: human-centred artificial intelligence, urban design, and policy. These solutions include interactive technologies (e.g., personalised real-time accessibility maps, lightweight wearable devices
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universities, encompassing disciplines such as nanobiology, biophysics and artificial intelligence. This particular project aims to align the development of the synthetic cell with relevant societal values
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for model calibration and validation. Develop models - potentially adopting first principles theories, coarse computational description and/or machine learning / artificial intelligence methods – to describe
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, Artificial Intelligence, Bioinformatics, Systems Biology or similar; experience with multivariate data such as omics or microbiome data; experience in causal inference is a plus able to communicate with non
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on control of micro-organisms, reduction of inflammation and scar formation, and the development of skin substitutes (artificial skin) and hair-regeneration. For our research projects, we collaborate with
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subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other
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tools – from wikis to robots, Generative Artificial Intelligence (GenAI) introduces new opportunities to assist students working together on creative problem-solving tasks. To fully harness this potential
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the bachelor's programs in Computer Science and Data Science/Artificial Intelligence, as well as master's programs in Computer Science, ICT in Business and the Public Sector, Media Technology, and Science Based
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and biomedical materials. Growing focus on the use of artificial intelligence techniques to support and accelerate the experimental work, e.g. data interpretation and prediction of structure-property