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Job Description DEPARTMENT OF PHYSICS Part-time Lecturer (25260604) Responsibilities: The appointee is expected to teach the Year 2 course “Mathematical Method” in our UG programme Green Energy and
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technology skills and knowledge of AI methods, with a proven ability to advance creative expression and innovation. An ability to collaborate with colleagues from different departments in the Academy is
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closely related discipline; candidates with a PhD are highly preferred; Demonstrated ability to conduct independent research, as well as collaborate effectively within a research team; Proven proficiency in
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computational methods to address and derive theoretical models and predictions. For this line of research we are seeking several postdoctoral researchers to work synergistically both within the team and with our
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
) hold a PhD in Marketing or a related field with expertise in quantitative marketing and empirical modelling utilising applied economics and statistical methods such as structural modelling, causal
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at the master’s and doctoral levels; and Undertaking administrative duties as appropriate to the level of appointment. Requirements: Applicants should hold a PhD in a relevant discipline, such as Cultural Studies
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methods Modern China and Hong Kong history, ideally with a global China perspective Modern and contemporary China (e.g., China in the Imperial Age; Contemporary China and Globalisation; Sino-Russian
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. Requirements: Should hold a PhD in related fields; Degrees that combine innovative approaches with strong theoretical knowledge are particularly relevant; and Should demonstrate expertise in experimental methods
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or technical expertise. Ideal candidates will demonstrate strong technology skills and knowledge of AI methods, with a proven ability to advance creative expression and innovation. An ability to collaborate with
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: Organisational Behaviour, Human Resources Management, Strategic Management, Research Methods. Requirements: Applicants must hold a Ph.D. degree and should demonstrate commitment to excellence in research and