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, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience with modern NLP methods, including transformer models
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for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning
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, disentanglement) Audio modeling Multimodal learning (alignment, data fusion) Statistical learning and advanced deep learning (large-scale training, generation control, self-supervised methods, and contrastive
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expertise in deep learning. You will be working on a defence funded project with the research focused on the development of multimodal foundation models using data from a broad range of modalities
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networks for deep learning on dynamic graphs. arXiv preprint. Trantas et al (2023). Digital twin challenges in biodiversity modelling. Ecological Informatics. Borowiec et al (2022). Deep learning as a tool
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policies. ● Data management and/or data analysis experience or aptitude. About the Department To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology . Pay and Benefits
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
Essential qualifications: Advanced degree (Master's or PhD) in Computer Science, AI, Machine Learning, or related field Demonstrated expertise in large-scale generative AI systems (inference and training
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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position for one Research Grant (“Bolsa de Investigação“) is open at Instituto de Telecomunicações, in the scope of the Project DECOLLAGE project – DEep COgnition Learning for LAnguage Generation, supported