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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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applications for the position of Research Fellow . The Research Fellow (RF) will play a key role in advancing the research mission of NTU by supporting cutting-edge projects in computer vision, machine learning
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on integrating multimodal large language models (LLMs) with embodied AI. This position will involve the development and deployment of Vision-Language-Action models for real-world robotic applications, such as
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
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. For NeuroAI focus: Analyze high-dimensional brain data, document results and carry out an independent research project. For NeuroAI focus: Develop and apply new machine learning and computer vision methods
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models Identify the weaknesses of existing models for the targeted project applications. Propose and develop state-of-the-art computer vision techniques to overcome existing challenges Train and evaluate