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The University of Surrey is offering a fully funded PhD studentship on the topic of Audio/acoustics machine learning for intelligent sound reproduction, with industrial partner Bang & Olufsen
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must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image analysis
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The University of Surrey is offering a fully funded PhD studentship on the topics of Deep Learning for Audio-Visual Scene Analysis, with industrial partner Bang & Olufsen. This project aims
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, more agile solutions. Current machine learning (ML) algorithms identify and predict threats but rely heavily on past datasets, requiring significant updates. Continual learning offers a solution by
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-machine manufacturing has experienced significant growth over the past five years, with projections indicating continued expansion. Improved efficiency can be achieved by design and materials optimization
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transposable elements (TEs), major component of most plant genomes especially those large genomes. Deep-learning models (currently used for computer vision and natural language processing), which can encode high
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electroencephalographic (EEG) signals, which capture the brain's neuroelectrical activities. The research will employ both conventional biosignal processing techniques and AI/machine learning methods to characterize
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competence in artificial intelligence, machine learning, machine vision and robotics, as well as Biometrics (statistics and mathematics with applications in biological systems). Read more about our benefits
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individuals with a strong background in AI, machine learning, and deep learning, who are passionate about tackling current health research challenges. Essential qualifications include: A solid understanding of
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Moments (NGMoM) model that efficiently models gas-gas collision and gas-solid scattering kernels. This model will incorporate detailed molecular interactions using machine learning algorithms to infer