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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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the aviation sector, non-destructive inspection, coating analysis, surface preparation, robotics, and test specimen analysis via universal testing methods such as ultrasonic test or flash thermography; and (b
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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will assist the project leader in the research project - “Development of high-fidelity and high-spatiotemporal-resolution day-ahead ultraviolet index (UVI) forecasting method: a deep learning approach
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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-qualification experience at the time of application; (b) strong background in SLA theories and methodologies; (c) proficiency in quantitative and qualitative research methods; (d) demonstrated ability
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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability
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Department of Computing Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 251103007) (1) Research Fellow / Postdoctoral Fellow (Full-time
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) Country Hong Kong Application Deadline 27 Nov 2025 - 00:00 (UTC) 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