351 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Hong Kong
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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Research Assistant [Appointment period: twelve months] Duties The appointees will assist the project leader in the research project - “Rethinking road safety risk evaluation by leveraging big mobility data
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at telephone number 3400 3201 or via email at nanguang.chen@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications
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have: (a) experience in working with children and youth with special educational needs; (b) a good command of both written and spoken English and Chinese; (c) good computer literacy and
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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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information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 28 February 2026. Apply Now Posting date: 9 February 2026
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Zhang at telephone number 2766 6162 or via email at yi-ee.zhang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration
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training task orchestration and automated pipelines, unified base image system (CUDA + PyTorch), data loading and data distribution components, and training artifact management and model version management
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) assist in data collection using ArcGIS Survey123, including training SDU residents on questionnaire usage and tagging points of interest (POIs); (b) conduct spatial analysis and visualisation using