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- “High-performance electrochemical transistors based on two-dimensional metal-organic frameworks for wearable sensing applications”. Qualifications Applicants should have: (a) a master’s degree or an
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in on-going research projects of the Population Hub Draft proposals, reports, and presentations relevant to the projects Perform advanced quantitative data analysis Publish high-quality academic papers
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precision operation as well as carry out data collection, system evaluation and benchmarking analysis; (g) prepare high-quality research outputs, including journal articles, conference papers, technical
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project - “eMotor+: Ultra-high performance electric motor drive systems for electrified transportation, robots, and automation”. Qualifications Applicants should have: (a) a doctoral degree or an
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
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Imaging (MRI) system that enables researchers to explore the structure and function of human brain. A high-performing computing server has been set up to support MRI data analysis. Responsibilities: Manage
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23 Apr 2026 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 23
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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23 May 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a recognised doctoral degree or