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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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, in actuator drive systems, such high switching speeds result in large dv/dt and di/dt values, leading to large transient electric fields in the actuators. These gradually deteriorate the actuator
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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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Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data
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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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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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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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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