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Field
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of translating fundamental AI, computer vision and spatial audio into ground-breaking creative-industry technologies. The post will investigate novel audio systems for virtual production, contributing both
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
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, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
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and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including
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developing AI-based smart healthcare monitoring devices, focusing on biosensor development, lab-on-chip, and point-of-care technologies. Apply machine learning and computer vision techniques to analyze
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modeling. These projects will focus on how to leverage ideas from a combination of partial differential equation based computational methodologies and machine learning techniques to develop computational
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limited to, multi-agent search, sim-to-real, and modeling of dynamic systems with modern machine learning technique. Beyond research, the candidate will develop project ideas both independently and within a
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high-quality research in top-tier conferences and journals. Job Requirements: Ph.D. in Computer Science, Robotics, or a related field. Expertise in machine learning, safe-learning and control algorithms
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in