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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
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
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. Job Requirements: Bachelor's degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and
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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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on learning efficiency and credit attribution effectiveness. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably Master / Bachelor’s degree in Computer Engineering, Computer
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer