20 phd-in-mathematical-modelling-population Fellowship positions at Hong Kong Polytechnic University
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Department of Applied Mathematics Postdoctoral Fellow (Ref. 250825006) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “Deep
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appointment] Duties The appointees will assist the project leader in the research project - “The role of the human frontopolar cortex in complex decision making: Neural network modelling, aging, and enhancement
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neuromyelitis optica spectrum disorder-related optic neuritis: from model construction to experimental investigation”. They will be required to: (a) perform administrative work and project operation; (b) conduct
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experience at the time of application; and (b) be familiar with theory of condensed matter, DFT, EPW, tight binding methods, ab initio modeling of electron-phonon mediated superconductivity and the
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/operations research, or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; and (b) solid mathematical background. Applicants
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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) support major BIM platforms, such as Revit and AutoCAD; (c) develop BIM-related functional modules, including model parsing, data interaction, automated modelling, and collaborative design; (d
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degree in Computing, Computer Science, Information Systems/Technology, Mathematics, Electronic Engineering or a related discipline with at least three years of postdoctoral research experience
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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