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on large set of data, Transformers, CNNs, CLIP is highly desired. Knowledge of deep learning algorithms is a prerequisite. Candidates should be excellent in academic writing, should have good communication
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temperatures. Specifically, the electrification of heavy-duty vehicles, such as agricultural tractors, requires a large amount of rare-earth material to satisfy the high-torque demand. One of the strong
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innovations change society. With ~25 tenured staff and a large group of postdocs and PhD candidates, researchers in the TIS group try to bridge the engineering and social sciences in a systems perspective on
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collaborative learning techniques that enable AI models to learn from large-scale decentralized data while preserving user privacy. Our ultimate goal is to instill self-learning capabilities in globally
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buildings and infrastructure is one of society’s most critical environmental challenges since a large amount of waste, pollution, and gas emissions are produced. In the last decade, bio-based composite
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7331 Job description Would you like to contribute to preventing large-scale failures or congestion in
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to electronic ICs, PICs are revolutionizing areas such as healthcare, communication and sensing and have the potential to be disruptive to the whole society. A key element in building towards very large scale
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for multi-camera data analysis and synthetic video generation. Generation of free viewpoint synthetic video streams for multi-camera broadcast setups will enable a fundamental shift in the viewing paradigm
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large project in which many disciplines work together to improve our understanding of the spread of pathogens in the air and the risk of infection. As it also connects with practice, its outcomes
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mathematical foundation of the next generation of algorithms? Are you passionate about numerical linear algebra (NLA)? The PhD project will explore the use of NLA tools in SciML for the solution of large-scale