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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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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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. 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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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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: Preferably Master's degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected
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Transfer. Support commercialisation of research outputs through patents, licensing, or spin-offs. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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journals such as S&P, USENIX, SIGMOD, VLDB, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: Master’s degree in computer science, computer engineering, mathematics, statistics, or a related discipline with a
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of Biomedical Data Science, with a focus on Computational Biology, Artificial Intelligence (AI) in Biology, and Bioinformatics. We welcome candidates working in, but not limited to: AI-driven approaches
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Computer Science/Aerospace Engineering/Operation Research or equivalent Experience in programming: excellent knowledge of Python Programming Languages Demonstrated project experience related to mathematical