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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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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 10 hours ago
01, 2022 Description The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer
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Job Description Apply Now Research Engineer/ Fellow (Applied AI research in computer vision, vision-language models) (XBJ) Posting Start Date: 27/02/2026 Schemes of Service: Research Division
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Job Description Apply Now Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Posting Start Date: 25/06/2026 Schemes of Service: Research Division: Professional Officers Employment
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Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 9 Oct 2026 View more categories View less categories
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 10 hours ago
02, 2021 Description The Computer Vision-Core Artificial Intelligence Research ( Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and
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to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language
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Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
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the preparation and writing of research grant proposals. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical