29 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Surrey
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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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: • Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. • Experience in collaboration and technology transfer
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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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science and applications. This project aims to develop the required formalism using modern probabilistic and machine-learning approaches, reformulating the problem in terms of conditional probabilities
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(csrankings.org) Home to world-leading research in computer vision, AI, multimodal learning, and robotics You will join a vibrant and tightly knit team of more than 10 other researchers working on a range of
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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/structural/mechanical engineering with experience and interest in structural dynamics, vibrational analysis, train-track-bridge interaction, signal processing, data science and machine learning. The successful
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structures, and developing secure API integrations Programming in languages such as C# and Python Solving Data Science and analytics challenges including applications of Machine Learning and Artificial
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Python and familiarity with LLM frameworks. Experience with machine learning, natural language processing, or time-series modelling. A strong interest in applying AI to engineering and energy-system
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evidence of their capability to teach marketing analytics and related areas across the curricula of UG and PG programmes. Industry experience, particularly in marketing-oriented roles with either MNCs