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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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process and substantiate the feasibility of using seepage cut-off walls for underground reservoir establishment and coastal protection. This work will advance geomechanics and hydrogeology understanding
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candidate will work under the supervision of Asst Prof Lujia FENG and focus on GNSS data processing and analysis for tectonic deformation studies. The primary purpose of this position is to conduct high
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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expertise to lead the development of professional-grade demonstrator units suitable for deployment to external partners. We are looking for a hands-on practical engineer who is skilled in technology
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isolation, and audit logging to safely handle sensitive municipal and utility infrastructure data. Pilot Execution & Translation: Collaborate with computer scientists, civil engineers, and operational
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is preferred. 3. Experience in chemical reaction engineering, hydrogen production, or gas separation processes is an advantage. 4. Familiarity with catalyst and membrane characterization
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow