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Research Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, preference will be given to those with experience in finite element simulations and high
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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project - “STF -automotive component data- driven and real-time predictive universal vehicle self-diagnosis system”. Qualifications Applicants should have: (a) a doctoral degree in Mechanical Engineering
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– “High-energy-density all-solid-state lithium metal batteries”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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component of the role (maximum 1 page). Shortlisted applicants will be requested to arrange for two references. Review of applications will start from May 12, 2026 and continue until the post is filled. About
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) assist in data management and data analysis; (d) assist in the facilitation of public, patient, and carer involvement and engagement in research; (e) assist in the preparation of reports and
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- “Analysis of the cross-diffusion systems: New results and applications”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at least three years of postdoctoral research
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final