24 parallel-processing research jobs at Hong Kong Polytechnic University in Hong Kong
Sort by
Refine Your Search
-
Chinese word processing; (d) a good command of both written and spoken English and Chinese, with fluency in Putonghua; and (e) good interpersonal and communication skills. Applicants are invited
-
applications, and familiar with CI/CD processes and DevOps-related work; (g) have some experience in system architecture design, able to design scalable service architectures, solve performance bottlenecks
-
projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
-
) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
-
- “Environment and conservation fund - converting waste plastics into value-added products: process design, simulation, and feasibility analysis”. Qualifications Applicants should: (a) have an honours degree
-
computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
-
- “Environment and conservation fund turning sewage sludge into green hydrogen and e-fuel with carbon-neutrality goals in Hong Kong: innovative process design, optimization, economic viability and environmental
-
Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys
-
- “Monetizing used masks: innovative integrated process design, optimization, and commercial-scale comprehensive decision-making”. Qualifications Applicants should: (a) have an honours degree or an equivalent
-
) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business