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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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different disciplines; (c) collect, process and analyse data related to the evaluation and impact of various research outputs; (d) prepare research reports, presentations and publications for journals
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models and prototypes for facade systems; (c) collect, process and analyse multi-modal data related to occupant behaviour, thermal comfort and energy consumption; (d) prepare research reports
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into Artificial Intelligence of Things (AIoT)-related user experience (UX) design; (b) support the development of privacy-aware frameworks, tools and prototypes for AIoT systems; (c) collect, process and
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concentrate on three interrelated areas: a) Semiconductor Equipment Scheduling: In semiconductor fabs, a vast number of wafers are processed across hundreds or even thousands of manufacturing tools following
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and brain-computer interface; and (c) strong publication records in related areas and demonstrated leadership ability. Applicants are invited to contact Ms Lyn L. N. Wong at telephone number 3400
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the project leader in the research project – “Information acquisition and processing in the financial markets”. Qualifications Applicants should have: (a) a doctoral degree in Finance, Accounting, Economics
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. In addition, applicants should submit
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or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic research papers. They should be organized, self