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problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video . Information Do you recognize yourself in this profile and would you like to know
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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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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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multi-modal sensing and AI data analysis. The PhD candidate will perform research with potential deployment of results in industrial products of Bosch, ViNotion and Sorama. The goal of the PhD candidate
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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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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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this research environment at TU/e, you will exchange information and results within the MIST project, that encompasses 7 other PhD students and several Postdocs. The research groups in which you will reside
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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
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. An allowance for commuting, working from home and internet costs. A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. Information and application The PhD
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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