40 phd-position-in-database-modeling Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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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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nonlinear charge and spin transport effects”. Qualifications Applicants should have a PhD degree in Physics, Materials or Engineering or equivalent qualifications plus at least three years of postdoctoral
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling
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the Head of Unit or his delegates. Qualifications Applicants should: (a) have a PhD in the fields of sociology of labor, work and employment, social history, gender and/or political economy, with
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The appointees will assist the project leader in the research project - “Mathematical modeling and analysis on the predator-mediated competitions and their biological consequences”. Qualifications Applicants
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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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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) 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