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Requirements: Master’s degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 1 year of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in computer engineering, Computer Science, Electronics Engineering or
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robotic pick and place with other researchers and engineers. Prepare reports and scientific papers. Job Requirements: Master’s in Computer Engineering, Computer Science, Electronics Engineering or
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in computer engineering, Computer Science, Electronics Engineering or
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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to the programme of research. Job Requirements: Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field. Basic understanding of machine learning and computer
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas