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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a talented and responsible
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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine
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using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid
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to collaborate with other team members, such as the Research Fellow who focuses on building machine learning models for perceptual quality prediction. About you The post-holder is expected to have a PhD degree (or
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places research and innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering
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of national and international funding agencies, as well as from industry. Job description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series
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, trustworthy AI systems that boost productivity, resilience, and environmental performance. The hub-and-spoke model connects universities as research “spokes” to address real-world challenges across priority
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Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine