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with the University’s policy framework and support coordination of Hyundai‑NTU‑A*STAR Corporate Lab activities. Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering
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degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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, Computer Engineering, or a related field. Strong background in smart contract security, blockchain systems, or software security. Experience in program analysis, formal methods, or vulnerability detection
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partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning
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Requirements: Bachelor’s, Master’s, or PhD degree in Materials Science, Engineering, Physics, Chemistry, Imaging Science, or a related technical field. Basic understanding of X-ray imaging, tomography
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. Job Requirements: PhD degree in electrical engineering or related field Strong knowledge of power electronics, packaging and integration, and device materials Excellent written and oral
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-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission Requirements a) Candidates attending a course in Computer Engineering
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. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical
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Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis