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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified
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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have a strong background in materials processing technologies, especially for light alloys
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications
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more than five years of post-qualification experience at the time of application. Preference will be given to those with related material processing and 3D printing research experience. Applicants are invited
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all