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Engineering or Flight Vehicle Propulsion Engineering; and (b) knowledge of control system development of Unmanned Aerial Vehicle (UAV) or Flight Vehicle Propulsion System. Preference will be given to those
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the research project - “Research centre for unmanned autonomous systems”. Qualifications Applicants should have an honours degree with academic background in Control Science and Engineering, as well as knowledge
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application; (b) a solid foundation in statistical analysis, with good programming and engineering capabilities, strong knowledge of quantitative business practices, and familiar with frontier AI
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– “EnergyKnow: Knowledge-driven smart building energy management with heterogeneous energy systems”. He/She will be required to: (a) develop and integrate knowledge-graph and AI methods for heterogeneous
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contributions to knowledge exchange, curriculum development, pedagogy, and administrative services. Interest and knowledge in mindful self-compassion will be considered an advantage. The appointee will be
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and analysis, and the publication and dissemination of knowledge related to the initiatives. They will be required to: (a) act as a project manager to assist the project leader in the administration
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/relevant work experience. Applicants for the Research Assistant post should have an honours degree or an equivalent qualification. For all posts, applicants should also have knowledge of stochastic control
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in flow stability analysis and solid knowledge of computational fluid dynamics. Applicants are invited to contact Prof. J. Hao at telephone number 3400 8060 or via email at [email protected]
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field; (b) a demonstrated understanding of the curriculum development processes in the higher education sector; (c) good knowledge of AI applications (e.g., Generative AI in education and AI
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analysis and AI agent development; (c) knowledge of Python, PHP, C++, C#, JavaScript, RDBMS or large language models; and (d) good communication skills. Preference will be given to those with