424 parallel-and-distributed-computing-phd positions at Hong Kong Polytechnic University
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delegates. Qualifications Applicants should have: (a) a PhD degree in Computer Science, Information Technology or related disciplines; (b) at least three years of post-qualification tertiary teaching
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Department of Computing Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time) (Ref. 260417019
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storeroom; - distributing study materials; - offering tea and refreshment services; - tracking and ordering office supplies; and - liaising with different parties for the arrangements of facility
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). Qualifications Applicants should possess a PhD degree in Applied Linguistics, TESOL or a related discipline, or an equivalent qualification, and must have no more than five years of post-qualification experience
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to support efficient model training iteration; (b) lead the construction of the GPU computing cluster centered around a Kubernetes + NVIDIA GPU Operator, including node planning, resource management
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, learning and scholarly activities; (b) contribute to the planning, administration and development of programme/courses; and (c) perform any other duties as assigned by the Head of Unit or his/her
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) engage in teaching, learning and scholarly activities; (b) contribute to the planning, administration and development of programme/courses; and (c) perform any other duties as assigned by the Head of
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Climate Resilience / Urban Sustainability / Global Change Ecology
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Department of Computing Senior Research Fellow (two posts) (Ref. 260323009) [Appointment period: each for one to two month(s)] Duties The appointees will assist the project leader in the research
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large