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of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of Bayesian deep learning. The position is available on a fixed term basis for 36 months
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work on a large-scale research programme on “Challenges in Immersive Audio Technology (CIAT)” conducted in collaboration between King’s College London, University of Surrey, and University of Southampton
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based in London at the main Campus of City, University of London. Initial informal enquiries can be made to Professor Nabil Aouf at: [email protected] . For further information: https://www.city.ac.uk
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Language Processing (NLP), Computer Vision (CV) and Machine Learning (ML) for the translation between spoken Language and Sign Languages. It will include the application of NMT techniques and Large Language Models
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or materials systems Reaction pathways and dynamics Fundamental theory in quantum chemistry and molecular simulations Chemical informatics and big data Artificial intelligence and machine learning applied
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intelligence and machine learning applied to chemistry problems About the role You will build an internationally recognised independent research programme. You will contribute to the School of Chemistry in a
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), University of Surrey This is an exciting opportunity for an outstanding researcher in Computer Vision, Audio and/or Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with
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at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey Exciting opportunity for an outstanding researcher in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a
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-2024-8 Is the Job related to staff position within a Research Infrastructure? No Offer Description Research As an assistant professor you will develop a research programme in the domain of (cyber
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partnership with other deans and executive officers of the University. In addition, key priorities for the next Director include the following: Developing a strategic vision for the next decade; Supporting a