22 programming-language "INSAIT The Institute for Computer Science" Fellowship positions in Hong Kong
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in the CARLA driving simulation platform and using various map APIs; (d) possess strong programming skills in Python, Java and other languages; and (e) demonstrate solid capabilities in system
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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passes in HKCEE including English Language (at least Grade C if Syllabus A; Level 2 if results are obtained from 2007 onwards), Chinese Language (Level 2 if results are obtained from 2007 onwards) and
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, Philosophical Quarterly, Philosophical Studies, Philosophy and Phenomenological Research, and Philosophy of Science. The department has a thriving PhD programme and also hosts several Postdoctoral Fellows
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programming language, such as JavaScript, C++ or Python; (b) be familiar with BIM development frameworks (e.g. Revit API, AutoCAD .NET API, and Forge); and (c) understand BIM standards (e.g. IFC and COBie
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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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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conducting design research; (c) have a good command of written and spoken English; (d) have good communication and interpersonal skills; and (e) be able to work independently as well as in a team
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next