263 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Hong Kong
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creative, highly independent and motivated; (h) be able to work under pressure and meet tight schedules with project management capability; and (i) have good computer literacy and be willing to learn
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Associate, applicants should have a master’s degree or a good honours degree in the Electrical and Electronic Engineering, Computer Science, Artificial Intelligence or a related discipline with three or more
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Department of Computing Postdoctoral Fellow (two posts) (Ref. 260205016) [Appointment period: each for six months] Duties The appointees will assist the project leader in the research project
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performance and funding availability. The Assistant Lecturer should possess a Master degree in Social Sciences or a related discipline. He/she will assist the Curriculum Coordinator in coordinating program
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on shift and provide support on a roster basis as required. Qualifications Applicants should: (a) have a recognised degree OR a higher diploma in Information Technology, Engineering, Computer Science or a
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Department of Language Science and Technology Research Assistant (Ref. 260213008) [Appointment period: two months initially, with possibility of further appointment] Duties The appointee will assist the project leader in the research project - “Detecting stigma evolution in social media and...
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of Financial Analysts Societies (EFFAS). Experience in teaching programme development and management will be an advantage. The appointee will contribute to the overall teaching and action research effectiveness
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computers, such as Jetson Orin Nano. (d) demonstrate a positive attitude, eagerness to learn, a sense of responsibility, strong teamwork, and the ability to collaborate across departments; and (e) have
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. The appointee is expected to conduct independent and collaborative research of high academic merit, and secure competitive external research funding to maintain an active research programme. He/She will
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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