37 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" positions at Hong Kong Polytechnic University
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- “Environment and conservation fund - converting waste plastics into value-added products: process design, simulation, and feasibility analysis”. Qualifications Applicants should: (a) have an honours degree
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, concrete mixing, experimental testing or numerical simulation. Applicants are invited to contact Prof. Zhao Xiao Lin at telephone number 2766 4474 or via email at xiao-lin.zhao@polyu.edu.hk for further
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, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at
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appointment] Duties The appointees will assist the project leader in the research project - “The role of the human frontopolar cortex in complex decision making: Neural network modelling, aging, and enhancement
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- “Multi-agent systems with variable morphology: models, controls, and applications”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact
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experience at the time of application; and (b) be familiar with theory of condensed matter, DFT, EPW, tight binding methods, ab initio modeling of electron-phonon mediated superconductivity and the
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neuromyelitis optica spectrum disorder-related optic neuritis: from model construction to experimental investigation”. They will be required to: (a) perform administrative work and project operation; (b) conduct
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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assist the project leader in the research project - “Personalized human and intention modeling technology for socially assistive robots”. They will be required to: (a) conduct the research on
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research and assist in project coordination for visually impaired guidance. For the Research Associate posts, the appointees will be required to involve for the post-training large language models