Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
- “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
-
the research project - “The role of AI in courtroom evidence evaluation: showcasing the impact in forensic voice comparison in Hong Kong”. They will be required to: (a) process and segment speech data; (b
-
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
-
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
-
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
-
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
-
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
-
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
-
behavioural and EEG experiments; (d) assist in recruiting and running participants for behavioural and EEG studies; (e) assist in processing and analysing behavioural and EEG data; and (f) perform any
-
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