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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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, 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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Computer Science PhD program at the Universitat de Barcelona. https://www.ub.edu/escoladoctorat/en/access-and-admission/access-pathways-and-requirements - Machine/deep learning - Excellent programming skills
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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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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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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position https://www.ucop.edu/academic-personnel
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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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on campus students, undergraduate online students and graduate Students. This role will also serve as a liaison between academic schools/departments and the Grizzly Testing and Learning Center to ensure