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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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/relevant work experience; and (b) be proficient in event-based computer vision and neuromorphic computing models, as well as in PyTorch programming and model development for SNNs. Preference will be given
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, GeoAI models and related computational platforms; (b) acquire, process and manage large-scale spatial datasets for internal research, external collaborations, and open benchmark development; (c
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months] Duties The appointees will assist the project leader in the project - “e-AIDA dedicated operation and maintenance”. They will be required to: (a) operate and maintain the e-AIDA; and (b
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, Social Work, Education, Public Health or other related disciplines; (b) have a good command of both written and spoken English and Chinese; (c) have good computer literacy including SPSS, Mplus, MS
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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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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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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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- “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the area of machine learning (ML) and data science, and also be
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written and spoken English and Chinese; and (e) have good computer skills, including Microsoft office (Word, Excel, Powerpoint, Outlook, etc) and Chinese word processing. Applicants are invited