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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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Position Non academic staff (supporting staff) Irène Curie Fellowship No Service(s) Library and Information Services Reference number V81.7397 Job description Eindhoven University of Technology (TU
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work with industrial partners to ensure that the generated insights from our research will be used to optimize large-scale electrolyzers. More information on the group can be found at: Electrochemical
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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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of the data center, access and metro/core networks. Optical networks growth in large data centers is due to exponential growth in demand for bandwidth-hungry applications in the cloud and recently this growth
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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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Position Non academic staff (supporting staff) Irène Curie Fellowship No Service(s) Library and Information Services Reference number V81.7392 Job description Are you an enthusiastic education
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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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. Implications of big data and AI for business: the study of business performance implications of (big) data and AI and potential trade-offs among performance indicators and to understand how value is distributed