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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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models”. They will be required to: (a) conduct literature reviews; (b) assist in data collection, pre-processing, and analysis; (c) support platform deployment and algorithmic development; (d
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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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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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc. Critical Studies on Arts and Machine Creativity: Art history
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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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, process, and analyse project data; (d) organise workshops and project meetings as required; (e) prepare and disseminate research results and project outcomes; and (f) perform any other duties as
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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