133 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Fellowship positions at Nanyang Technological University
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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
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and Electronic 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
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, technical reports, specifications and presentations for internal reviews and external conferences or journals Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics
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project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science
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Requirements: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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Technological 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
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the robotic system. Job Requirements: Possess a PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Solid
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preparation and student guidance. Assist in the preparation and writing of research grant proposals. Job Requirements: PhD degree in computer engineering, Computer Science, Electronics Engineering or
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contribute to the research group's collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent
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. Perform other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning