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relevant stakeholders; (d) collect, analyse, and interpret qualitative and quantitative data; (e) organise and facilitate meetings and focus groups; (f) distribute and collect feedback forms and
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; (f) be proficient in Python, R, or Stata; (g) have experience with SQL, Spark, or distributed computing frameworks; (h) be able to work independently, taking initiative, and demonstrating
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the project leader in the research project – “Towards efficient distributed quantum computing: A cross-layer design from network infrastructure to circuit execution”. The appointees will be required to: (a
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(s) offered by the Division of Artificial Intelligence/ LEO Dr. David P. Chan Institute of Data Science. The teaching load will be two courses per year, distributed according to the needs
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initiatives). Teaching: The teaching load will be three courses per year, distributed according to the needs of the Department and upon mutual agreement. English will be the language of instruction. The
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year, distributed according to the needs of the Department and upon mutual agreement. English will be the language of instruction. The appointee may be required to teach courses on both undergraduate and
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) develop and distribute comprehensive learning materials to the students; (b) co-deliver software (CLO 3D) instruction and provide expert support; (c) analyse data and assist in evaluating
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year, distributed according to the needs of the Department and upon mutual agreement. English will be the language of instruction. The appointee may be required to teach courses on both undergraduate and
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Catastrophic Risk Centre (HKCRC). Teaching: The teaching load will be three courses per year, distributed according to the needs of the Department and upon mutual agreement. English will be the language of
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of