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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7447 Job description You will develop a peer to peer information system for data sharing
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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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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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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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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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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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experiments, and analyzing the resultant data using statistical analysis techniques? Then we are looking for you to support our research team in the prestigious project HybridLabs: Accelerating Dutch
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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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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