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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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Python and C++ with relevant computer vision, signal processing, machine learning and/or deep learning tools (TensorFlow, PyTorch, Keras, OpenCV etc.). A track record of publishing academic papers, open
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Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning, organising, and maintaining accurate records of all datasets associated with
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partners. Collecting and managing acoustic recordings, images, and behavioural data from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning
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., Preferably a good understanding in machine learning, natural language processing and AI, Preferably, a background in data-driven research and high-performance computing, BI/Data Visualisation (Power BI), SQL
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, Computer Science, AI, Data Analytics, or a related field. Strong programming skills in Python and familiarity with LLM frameworks. Experience with machine learning, natural language processing, or time