23 programming-language "INSAIT The Institute for Computer Science" Fellowship positions in Hong Kong
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application; (b) experience in conducting human neuroscience research and/or be proficient in computer programming, e.g. Matlab and Python; (c) a good command of both written and spoken English; and (d
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for the Research Assistant post should have an honours degree or an equivalent qualification. Applicants should also: (a) have a good command of both written and spoken English and Chinese; (b) be a good team player
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peer-reviewed journals; (f) an excellent command of both written and spoken English and Chinese; (g) strong interpersonal skills and the ability to work collaboratively within multidisciplinary
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language models”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification
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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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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
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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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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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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766