39 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in Hong Kong
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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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Department of Computing Senior Research Fellow / Senior Project Fellow / Research Fellow / Project Fellow / Postdoctoral Fellow / Research Assistant / Project Assistant (Full-time/Part-time) (Ref
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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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) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “High-order structure-preserving linear relaxation exponential integrator methods
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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proven record of independent research experience; (d) have experience in advanced quantitative research methods, preferably stata; (e) have experience in conducting focused research on tourist
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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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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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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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