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and technological disclosures writing. Job Requirements: PhD in Computer science, Computer engineering, or related field. Experience in privacy-preserving techniques’ research and implementation. Strong
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The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future...
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collaboration with Prof. Thomas Peyrin, at SPMS. We are seeking a Research Assistant to contribute to a project focused on design and analysis of cryptographic modes of operation. Key Responsibilities: Design
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to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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, corporations that result in goodwill and philanthropy towards education and research. The Assistant Manager, Advancement Services, is responsible for accurately processing donations, maintaining donor records
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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Assist with administrative work, teaching, and research event arrangements Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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digital transformation, perform tasks needed to bridge business users with CITS in the designing and implementing of solutions that improve NTU work processes. This position will partner closely with
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing