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- “Fibre-strengthened glass”. Qualifications Applicants should have a doctoral degree in Physics, Chemistry, Material Science or a related discipline and must have no more than five years of post
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machine learning force fields (MLFFs) to scale up simulations, and model larger and more complex systems; (c) analyze simulation data to predict material properties, reaction pathways and diffusion
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project - “Artificial intelligence-assisted smart decision system for determining colour fading of indigo-based denim products induced by washing techniques”. Qualifications Applicants should have: (a) a
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tools on enhancing 3D content creation performance; • visualise data and prepare reports to support decision-making within the project team; (d) prepare research outputs and dissemination materials
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) develop and distribute comprehensive learning materials to the students; (b) co-deliver software (CLO 3D) instruction and provide expert support; (c) analyse data and assist in evaluating
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- “Investigation of the hygroscopic morphing and swinging behavior of MXene-based film”. Qualifications Applicants should: (a) have a master’s degree in Solid Mechanics or Material Science; (b) be highly self
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) conduct interviews and surveys; (c) analyse quantitative and qualitative data; (d) create graphic material including illustrations and diagrams; (e) assist in the report writing; and (f) perform
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qualification with at least two years of research experience in additive manufacturing technology of metallic materials; and (b) experience in publishing high-quality research papers. Applicants are invited
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- “Development of football socks to enhance comfort and player performance”. Qualifications Applicants should have an honours degree or an equivalent qualification in Material Science & Engineering, Mechanical
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dynamics and mass transport in tri-electrode zinc-air flow batteries”. Qualifications Applicants should have an honours degree or an equivalent qualification in Chemistry, Materials Science, Energy Science