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primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
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the research project - “Next generation dynamic mesh optical networking research for data centers”. Qualifications Applicants should have a master’s degree or a good honours degree with three or more years of
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arm control algorithms in both simulated and real-world environments; (d) train robotic systems in simulation environments using reinforcement learning; (e) collaborate with clinicians to ensure
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analysis and chatbot function; (b) assist the project team to co-design and build an architecture for dynamic access to the HK AI-hub with large-scale deployment of health-related information while
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will assist the project leader in the research project - “Bubble dynamics and mass transport in anion exchange membrane water electrolysis cells for green hydrogen production”. Qualifications
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with academic background and solid knowledge of Applied Mechanics and Fluid Mechanics; (b) research experience in computational fluid dynamics (CFD); and (c) experience in handling project(s) in
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of Applied Mechanics or Control Science and Engineering; (b) research experience in computational fluid dynamics (CFD) or control system development of unmanned aerial vehicle (UAV); and (c) experience
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Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
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- “Multi-node dynamic transit for e-commerce long-haul transportation in hyper-connected logistics networks”. Qualifications Applicants should have: (a) an honours degree, preferably in logistics
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in Biomedical Science or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; and (b) a strong background in molecular