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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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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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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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). 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 appointee may be
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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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the upcoming new Taught Postgraduate programme(s) offered by the Division of Artificial Intelligence. The teaching load will be two courses per year, distributed according to the needs of the Institute and upon
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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