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Artificial Intelligence (DSAI) is a multi-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences established on 1 January 2025. DSAI will be at the forefront of cutting-edge
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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of the project with major tasks including: organising training courses and public education events implementing
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Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent
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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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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
procedure The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a cover letter stating their research interests and experience, and
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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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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and